338 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 discloses a water pumping station remote control system adaptive to a water supply network, relates to the technical field of water pumping station control, and solves the technical problem that in the prior art, a water pumping station operation decision cannot be made when remote control is abnormal, and the supply efficiency is reduced. Specifically, a remote control influence analysis unit performs control influence analysis on remote detection of a water supply network, acquires control aging data and control interference data, and deduces whether the remote control influence analysis is normal or not according to data analysis; the signal abnormity control decision-making unit performs control signal abnormity decision-making on the water supply network, acquires decision-making duration information and decision-making frequency information, and deduces whether the supply decision of the current water pump station is adaptive or not according to information comparison.

The invention discloses a communication optical cable line fault rapid positioning system, which comprises optical time domain reflectometers and a remote monitoring center, and is characterized in that two optical time domain reflectometers with different optical pulse wavelengths are respectively connected to two ends of a communication optical cable line through wavelength division multiplexers on corresponding sides; the optical time domain reflectometer analyzes a reflected light signal received by the optical time domain reflectometer through a built-in intelligent algorithm, quickly calculates the position of a fault point and judges the type of the fault; the intelligent algorithm comprises a loss positioning algorithm, a reflection peak identification algorithm and a microbend loss analysis algorithm; the loss positioning algorithm is used for detecting the position of a fault point and distinguishing an optical fiber breakpoint and a loss type fault; the reflection peak recognition algorithm is used for detecting a fault point position; the microbend loss analysis algorithm is used for detecting and distinguishing microbend loss and other types of loss; the system has the advantages of being stable in detection system, good in detection effect, rapid in fault positioning and more accurate in detection result, and automatic detection, remote detection and remote monitoring and management of optical cable faults can be conveniently achieved.

The invention discloses a battery life remote detection system and method based on charging data intelligent analysis, and relates to the technical field of battery life analysis, data acquisition of the battery life remote detection system is realized based on push data of a charging pile platform, and battery charging order data pushed by the charging pile platform is received; and when the charging of the user at the charging pile is completed, a supplier of the charging pile platform pushes heartbeat data to the battery life remote detection system, and data and change trend of key information such as voltage, current and power in the charging process are obtained through the obtained battery charging order data. According to the method, before the battery life analysis process is entered, the validity of the order needs to be confirmed firstly, it is ensured that the charging data of each vehicle is accurately classified, the battery performance is accurately judged, the battery life is accurately predicted during charging, the battery life state can be more accurately evaluated from the macroscopic perspective, and the battery life analysis efficiency is improved. Therefore, the user experience is optimized and the service life of the battery is effectively prolonged.

The invention provides an exhaust emission remote detection system in a kitchen waste treatment process, and relates to the technical field of data processing, and the method comprises a calculation module which is used for calculating an exhaust emission rate according to a correction parameter, a standard data frame, a chemical reaction conversion rate of a monitoring point A and a removal rate of an incinerator purification device of a monitoring point B; calculating pollutants of the monitoring point A and pollutants of the monitoring point B to generate a pollutant correction concentration matrix; and the early warning module is used for carrying out early warning according to the pollutant correction concentration matrix, the flow of the induced draft fan, the flow of the flue and a preset emission threshold value. Through the space correction coefficient, the concentration deviation caused in the waste gas transmission process is compensated in real time, and the data reliability is improved.

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.

According to the sighting telescope for detecting the unmanned aerial vehicle and the control method of the sighting telescope, a view field area is scanned mainly through active narrow-band near-infrared laser, remote detection and discovery of peeping photoelectric equipment of the unmanned aerial vehicle can be achieved, and the sighting telescope is small in system size and low in cost. According to the main technical scheme, the sighting telescope of the detection unmanned aerial vehicle is characterized in that a laser emitting module is used for emitting detection laser; the imaging assembly is used for acquiring image information; the main control module is connected with the laser emitting module, the imaging assembly and the display module, the main control module is used for controlling the laser emitting module to emit laser and extracting unmanned aerial vehicle information according to the image information, and the display module is used for displaying according to the image information and the unmanned aerial vehicle information. The invention is mainly used for laser detection.

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.

A wheel-track type wind turbine power generation device capable of being remotely detected comprises a main machine, a wheel-track type wind turbine and a rotating speed measurer, the wheel-track type wind turbine comprises an annular track, three power generation trolleys are assembled on the annular track, and vertically-arranged cylindrical rotor blades are assembled on the three power generation trolleys through rotating rods; the three rotating rods are connected through the trolley connecting frame, the rotating rods are rotationally connected with the trolley connecting frame, the rotating speed measurer is located at the circle center of the annular rail, a measuring end is installed on the rotating speed measurer, an electric control connecting end nut is assembled on the measuring end, and a connecting terminal is assembled in the center of the trolley connecting frame. The electric control connecting end female can be connected with the connecting terminal, and the rotating speed measurer, the power generation trolley and the electric control connecting end female are all electrically connected with the host. According to the utility model, the target of remotely detecting whether the wheel-track type wind turbine fails or not can be realized, and the influence on the work of the wheel-track type wind turbine is small.

The invention relates to the technical field of remote detection, and discloses an unmanned aerial vehicle human body vital sign detection method based on an ultra wide band radar, and the method comprises the steps: planning a flight path of an unmanned aerial vehicle; acquiring a reflection signal received by the ultra-wideband radar, position information of the unmanned aerial vehicle and image data of the thermal imager in real time; a reflection signal received by the ultra wide band radar is acquired and preprocessed in real time; processing the reflected signal based on a signal processing algorithm and extracting human body vital sign characteristic parameters; the human body vital sign characteristic parameters comprise respiratory frequency and heartbeat frequency; according to the human body vital sign characteristic parameters, the normal range of the preset human body vital sign characteristic parameters and the image data of the thermal imager, the existence condition of the human body life is judged. According to the invention, vital signs can be remotely detected, and human body vital sign signals under ruins can be rapidly and accurately detected in a large range by using the high maneuverability of the unmanned aerial vehicle.

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.

The invention belongs to the technical field of remote detection acoustic logging migration imaging, and particularly relates to a high-precision iteration reverse time migration method and system for remote detection acoustic logging. The method comprises the following steps: collecting remote detection acoustic logging data, and processing the remote detection acoustic logging data to obtain reflected wave actual measurement data; performing remote detection reverse time migration processing on the reflected wave actual measurement data to obtain an initial imaging result; establishing a wave equation based on the initial imaging result, and solving the wave equation to obtain reflected wave prediction data; obtaining residual data according to the reflected wave prediction data and the reflected wave actual measurement data; and carrying out wave field back propagation by taking the residual data as a geophone source, constructing an imaging gradient and obtaining an imaging result. According to the method, the reverse time migration is used for replacing Kirchhoff migration and F-K migration commonly used in remote exploration acoustic logging actual data processing, vertical speed change in a logging observation system can be better adapted, and low-dip-angle fracture-cavity migration homing 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 discloses a method for remotely detecting a weld joint of a heating surface. Relates to the technical field of ultrasonic thickness measurement detection, in particular to the technical field of ultrasonic welding seam remote detection. According to the method for remotely detecting the welding seam of the heated surface, the welding seam of the heated surface is detected by adopting a self-designed single crystal probe, the self-designed single crystal probe comprises a probe part and a wedge block, the probe part is detachably mounted on the wedge block, the thickness of the wedge block is designed to be 6 mm, 10 mm and 15 mm, and during detection, the single crystal probe is detachably mounted on the wedge block. Wedge blocks with different thicknesses are selected for detection according to actual requirements. The self-designed single crystal probe can carry a long-distance detection mechanism to realize long-distance detection of the low-reheating surface pipe, and by combining the self-designed detection method matched with the single crystal probe, the technical problems of difficulty in long-distance detection of the defects of the low-reheating surface pipe and low accuracy in the prior art can be effectively solved, the detection time is saved, and the detection efficiency is improved. The detection precision is improved.

The invention is suitable for the technical field of computers, and provides a fault detection method and device for a die-casting machine, control equipment and a computer readable storage medium, and the method comprises the steps: obtaining the real-time operation state data of the die-casting machine in the production process; detecting the running state data in real time through a local fault detection service to obtain a local detection result; performing fault detection on the operation state data through remote fault detection service to obtain a remote detection result; updating a local fault detection service based on the difference between the local detection result and the remote detection result; and detecting the operation state data based on the updated local fault detection service to obtain a target detection result of the operation state data. The fault detection accuracy of the die-casting machine is improved based on a dual fault detection and updating mechanism.

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.

The utility model discloses an outdoor LED advertisement screen fault remote detection system based on onenet Internet of Things. The system comprises a system detection device, a system transmission device, an onenet Internet of Things cloud platform and a user terminal which are in communication connection in sequence. A current analog signal of a power supply box used by the LED advertisement screen is acquired through a current acquisition sensor, the received current analog signal is isolated through an optocoupler isolation unit and then is transmitted to a first microprocessor for analog-to-digital conversion, a current digital signal is acquired, and the current digital signal is transmitted to system transmission equipment; total current data information is obtained through the system transmission equipment according to the received current digital signal and is transmitted to the onenet Internet of Things cloud platform; and comparing the total current data information with a preset total current threshold value through the onenet Internet of Things cloud platform to obtain an LED advertisement screen detection signal, and sending the LED advertisement screen detection signal to a user side to realize remote fault detection of the outdoor LED advertisement screen.

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 provides a sound wave remote exploration data reconstruction technology and device based on high-fidelity data mapping, and the technology comprises the steps: converting sound wave remote exploration data with missing channels or bad channels into a mapping domain through employing a high-resolution Radon operator, and carrying out the separation and removal of the data in the mapping domain if the data have noise; the mapping domain data are converted back to a time domain through a high-resolution inverse radon mapping operator, and reconstruction data corresponding to a missing track or a bad track are obtained; and performing energy balance processing on the reconstructed single-channel data and the original data, and outputting reconstructed sound wave remote detection data. Compared with the prior art, the fidelity data reconstruction technology based on logging sound wave remote exploration data mapping is good in stability, high in adaptability and good in fidelity. According to the method, based on the seismic wave propagation theory, the high-fidelity data mapping operator is utilized to reconstruct the sound wave remote exploration data, the reconstruction result complies with the geophysical law, and the reasonability is high.

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.