1802results about "Fluid-tightness measurement" patented technology

The invention provides a civil air defense engineering concealed conduit leakage positioning method based on acoustic characteristics, and belongs to the technical field of civil air defense engineering. An acoustic signal acquisition network is constructed by deploying a high-sensitivity hydrophone array, and signals are preprocessed by using a time division multiple access technology and a pulse compression technology; and carrying out time-frequency analysis by applying wavelet transform to extract acoustic features. A time reversal mirror technology is introduced to identify direct propagation and multipath reflection signals, a fluid acoustic coupling propagation equation is constructed to analyze a leakage sound source mechanism, and pipe network topological information and a sound wave speed correction function are combined to compensate a measurement error. Wherein the deep learning pipe network acoustic propagation multi-modal model is fused with a pipeline structure encoder, an acoustic feature extractor and a position prediction decoder, and high-precision leakage positioning and degree evaluation in a complex environment are realized through a three-stage pre-training strategy; the technical problem that it is difficult to accurately locate the position of a leakage point in the complex pipe network environment of civil air defense engineering is solved.

The invention belongs to the technical field of magnetofluid sealing in mechanical engineering, and particularly relates to a magnetofluid sealing device based on a labyrinth tower shape, the magnetofluid sealing device is applied to a main shaft, the magnetofluid sealing device comprises a shell assembly and a magnetofluid sealing assembly, and the shell assembly comprises a first sealing shell and an end cover; the magnetic fluid sealing assembly comprises a main shaft sleeve, a pole shoe set and a permanent magnet, a labyrinth tower-shaped sealing structure is formed between the pole shoe set and the main shaft, and the good sealing effect can still be achieved under the working conditions of large shaft diameter, high pressure and high speed; in addition, the invention further provides a sealing performance test bench for the magnetofluid sealing device based on the labyrinth tower shape, on the basis that the main shaft driving assembly is used for providing rotating speed and torque for the main shaft and the pressurizing assembly is used for providing constant pressure for the sealing device, the sealing performance of the magnetofluid sealing device is tested in cooperation with the detection assembly under the working conditions of adjusting different rotating speeds, different pressures and the like. The sealing performance of the magnetofluid sealing device is tested in real time, and the method has important guiding significance on design and optimization of a sealing gap structure.

Video inspection systems are disclosed. In one embodiment a video camera for use in a pipe inspection system includes a camera head including an outer housing, a camera module assembly including video and non-video sensors, a processing circuit, and a data link receiver.

The invention relates to the field of heat exchanger anomaly detection and fault diagnosis, and discloses a heat exchanger anomaly detection and quantitative diagnosis method, system, medium and equipment under multiple unstable working conditions, and the method comprises the steps: collecting data of key parts of a heat exchanger, and preprocessing the data, the data including online monitoring data and offline data; according to the preprocessed data, fluctuation working condition sensitive indexes are constructed, the fluctuation working condition sensitive indexes comprise leakage fault indexes and scaling fault indexes, and follow-up characteristic analysis indexes of the online monitoring data are obtained through the fluctuation working condition sensitive indexes so as to construct an unsteady-state multi-working-condition anomaly detection model; leakage fault quantitative diagnosis and scaling fault quantitative diagnosis are carried out according to the abnormal detection model under the unsteady-state multiple working conditions. Abnormality detection of the heat exchanger under multiple unstable working conditions can be achieved, and the accuracy of abnormality detection is improved.

The invention provides an outer wall leakage point positioning detection method and system based on infrared thermal imaging, and relates to the technical field of computer vision, and the method comprises the steps: firstly collecting a multi-period infrared thermal imaging data set of a target building outer wall, covering a surface temperature distribution matrix at different environment temperatures, and then carrying out the dynamic temperature correction processing, the method comprises the following steps of: forming a standardized temperature distribution set for eliminating the influence of environment temperature fluctuation, extracting a thermal characteristic parameter set containing the characteristics of temperature gradient distribution and the like from the standardized temperature distribution set, calling a pre-trained thermal anomaly detection model to carry out leakage risk probability mapping on the thermal characteristic parameter set, and generating a leakage point probability distribution diagram; and finally, performing region segmentation processing according to the leakage point probability distribution diagram and a preset dynamic judgment threshold value, outputting a leakage point positioning coordinate set and a corresponding leakage strength grade identifier, and realizing accurate positioning and strength grade identification of the leakage points of the outer wall.

The invention relates to the technical field of methanol safety monitoring, in particular to a methanol leakage prediction system based on artificial intelligence. According to the method, structural extraction of potential leakage paths is realized through dynamic sorting and surge correlation combination of methanol concentration change trends in continuous time periods, and weighted calculation is carried out on conduction characteristics between monitoring nodes in double dimensions of time series and spatial topology by virtue of a graph attention mechanism, so that the detection accuracy of the leakage paths is improved. The method comprises the following steps: establishing a path, forming quantitative expression of node influence factors in the path, capturing synchronous abnormal behaviors under an environment disturbance background through a multi-parameter coupling sudden change identification mode of air pressure and wind speed, further constructing a high-timeliness sudden change event set, and performing index fusion on the influence degree and sudden change frequency of monitoring nodes on the basis to obtain a high-timeliness sudden change event set. And space risk score distribution is formed, and a leakage possibility region prediction map is generated in combination with two-dimensional coordinates, so that boundary fine depiction of a high-risk region is realized.

The invention relates to the technical field of gas leakage detection, and discloses an infrared imaging radiation correction method and system for gas leakage detection, and the method comprises the steps: obtaining the distribution data of dark current noise, and the mapping relation parameters of an image gray value and a radiation brightness value; acquiring infrared radiation of the gas leakage scene by using an infrared detector to obtain an original infrared image; based on the distribution data of the dark current noise, performing pixel-by-pixel compensation on the original infrared image to generate an infrared image after dark current correction; extracting the radiation intensity distribution of the infrared image after dark current correction, calibrating the radiation value of each pixel in the infrared image based on the mapping relation parameter between the image gray value and the absolute radiation brightness value, converting the image gray value into the absolute radiation brightness value, and generating the infrared image after radiation calibration; and outputting an infrared image after radiometric calibration for subsequent gas leakage area identification and feature analysis. According to the invention, a high-quality and quantifiable radiation quantification image can be output.

The invention relates to the technical field of gate groove measurement, in particular to a dam gate groove vertical plane measurement system and method based on an intelligent sensor, and the method comprises the steps: collecting a vertical plane image, vertical plane overflowing velocity data, vertical plane water level data, vertical plane height data and vertical plane sealing pressure data of a gate groove; extracting corrosion pit data in the vertical plane image and evaluating the flatness of the vertical plane based on the corrosion pit data; evaluating the vertical plane wetting-drying alternation influence degree based on the vertical plane water level data, and obtaining the vertical plane erosion degree by combining the vertical plane flatness; and integrating the vertical surface erosion degree and the vertical surface sealing pressure data to pre-estimate the gate leakproofness, and performing gate leakproofness early warning according to a gate leakproofness pre-estimation result. According to the method, the scientificity and the accuracy of gate leakproofness evaluation are improved by quantifying the vertical plane flatness of the gate groove of the gate and the influence of the vertical plane dry-wet alternation period on the vertical plane erosion degree.

The invention discloses an optical fiber embankment underwater piping leakage event time-space correlation analysis method, and relates to the technical field of leakage event intelligent identification and risk assessment in embankment safety monitoring, and the method comprises the following steps: S1, obtaining continuous time-space monitoring data of an embankment underwater region obtained through monitoring by a distributed optical fiber sensing system; and S2, processing the continuous space-time monitoring data by adopting a feature recognition model based on a neural network, and recognizing a suspected leakage event. According to the time-space correlation analysis method for the underwater piping leakage event of the optical fiber embankment, by fusing multi-level data processing and self-adaptive feature learning, false alarms caused by environmental interference are effectively restrained, and the recognition accuracy of a real leakage event in a complex underwater scene is improved. An analysis framework combining space-time association diagram construction and physical mechanism verification is adopted, the internal relation between events can be deeply mined, and the space-time evolution rule of a seepage path is accurately restored.

The invention relates to a tunnel lining leakage infrared-millimeter wave fusion detection method and system, and belongs to the technical field of civil engineering detection, and the method comprises the steps: obtaining high-density millimeter wave radar data and thermal infrared imager data; performing data preprocessing to realize space alignment and time synchronization; topological features are extracted, manifold learning mapping is carried out on the preprocessed millimeter wave radar data, and a topological signature matrix is constructed; multi-phase spectrum analysis is carried out, nonlinear phase space reconstruction and multi-scale entropy feature analysis are carried out on the preprocessed infrared thermal imager data, and an entropy feature map is obtained; probability fusion and progressive reasoning are executed, and a leakage area probability graph is generated through a conditional random field model and a progressive belief propagation algorithm; the method overcomes the limitation of a single sensor detection method, achieves the high-precision detection and quantitative evaluation of the leakage of the tunnel lining, and has the technical effects of high detection accuracy, high environmental adaptability, high automation degree and the like.

The invention discloses a real-time target detection and intelligent identification system and method based on an unmanned aerial vehicle image, and relates to the technical field of image target detection. According to the invention, the dual-mode sensor is carried, and pixel-level data alignment is realized through a space-time synchronization error control matrix; a dynamic feature fusion module is utilized, and differential representation of visible light and methane data is captured and concentration-space joint features are enhanced through cross-modal weight learning, leakage feature perception and an adaptive fusion unit; a region attention calculation module is constructed, sub-region attention scores are generated based on multi-dimensional data such as historical leakage records and pipeline density, and resource priorities are dynamically distributed and calculated; and the model optimization module combines the attention level and the real-time computing power load, and dynamically adjusts the channel resources through a reference retention ratio and a dynamic pruning strategy.

The invention discloses an anesthesia equipment fault diagnosis method and system based on image recognition, particularly relates to the technical field of medical equipment fault detection, and is used for solving the problem that a non-contact image detection method in existing anesthesia equipment pipeline leakage detection is poor in transparent pipeline weak leakage signal recognition capability. Through combination of multispectral dynamic imaging and polarized light scattering mode analysis, pipeline surface microscopic deformation characteristics are obtained, and a leakage path prediction result is generated. Environmental reflective noise is inhibited based on spectral distribution characteristics of the reference image set, optical response changes of the candidate area are triggered in combination with active pressure disturbance, and the inverse proportion physical relation between the permeation rate and the fluid conduction speed is verified; through dynamic threshold screening and spatial continuity verification, accurate positioning of a target area is realized, finally, spectral features, path forms and real-time pressure parameters are fused to generate leakage risk assessment, non-intrusive high-sensitivity leakage identification is realized, and reliable guarantee is provided for safe operation of clinical anesthesia equipment.

The invention discloses a fire-fighting non-destructive detection method based on multi-modal detection, and relates to the technical field of fire-fighting engineering, and the method comprises the following steps: carrying out the rapid scanning of fire-fighting equipment through an ultrasonic array, analyzing and positioning a suspected defect region based on a time domain reflection signal, and generating a three-dimensional coordinate mapping model; and performing multi-angle X-ray projection acquisition on the positioning area, and generating an internal structure cross-sectional image through a three-dimensional reconstruction algorithm. According to the fire-fighting non-destructive detection method provided by the invention, by integrating various technical means such as ultrasonic array scanning, X-ray tomography, thermal imaging analysis and microwave sealing detection, comprehensive and accurate identification of potential defects of fire-fighting equipment is realized, and the dimensionality and precision of defect detection are improved; the structural integrity of the equipment is kept to the maximum extent, extra risks caused by destructive detection are avoided, and the reliability and accuracy of detection are improved through a data fusion algorithm.

The invention relates to the field of sealing testing, in particular to a sealing performance analysis method based on elastic-plastic contact calculation of finite element-boundary element coupling, which comprises the following steps: establishing a finite element model of a sealing structure, and obtaining contact pressure distribution of a sealing contact interface; dividing the sealed contact interface into a plurality of fan-shaped areas, and processing each fan-shaped area into a rectangular area; generating a rough surface of which the surface height value has a specified statistical distribution rule for each rectangular region, performing equivalent contact simplification for the rough surface in the sealing contact process, and solving the microscopic contact state of the rough surface; and constructing a contact state matrix based on the microscopic contact state, and determining a leakage channel by using the contact state matrix. The problems that a traditional rough surface microcosmic contact finite element simulation method is low in calculation efficiency and elastic-plastic contact deformation convergence is difficult are solved, and the efficiency of microcosmic contact calculation and sealing performance analysis is greatly improved.

A system may include a sealing sleeve disposable about a tubing union joining a lower tubing and an upper tubing, at least one lower seal disposable proximate a lower end of the tubing union between the sealing sleeve and the lower tubing, and at least one upper seal disposable proximate an upper end of the tubing union between the sealing sleeve and the upper tubing. The at least one upper seal, the at least one lower seal, and the sealing sleeve form a pressure test cavity about the tubing union. The system may also include a fluid path configured to provide fluid communication between the pressure test cavity and a pressure test port.

The embodiment of the invention provides a gas leakage position positioning method and device, and the method comprises the steps: collecting spectral images corresponding to a plurality of wave bands for a gas leakage region through an unmanned plane, and carrying out the fusion of the spectral images corresponding to the plurality of wave bands, and obtaining a multispectral image; extracting multispectral features of the multispectral image, and constructing a gas concentration thermodynamic diagram corresponding to the gas leakage area according to the multispectral features; carrying out concentration image feature recognition on the gas concentration thermodynamic diagram, and determining an abnormal image region in the gas concentration thermodynamic diagram according to a recognition result; and constructing a flight path for the unmanned aerial vehicle in the gas leakage area according to the abnormal image area, and driving the unmanned aerial vehicle to position a gas leakage position based on the flight path.

The invention relates to the technical field of oil and gas transmission, and discloses an intelligent leakage early warning flexible composite pipeline system and an early warning method.The system comprises a composite pipeline body, an optical signal processing device and a data processing unit, and the optical signal processing device is in communication connection with the data processing unit to achieve data transmission. The early warning method corresponds to the system. According to the invention, intelligent leakage early warning and monitoring of the flexible composite pipeline system are realized; the distributed temperature sensing element can sense the temperature change of the pipeline; the optical signal processing device converts the laser signal into an electric signal and transmits the electric signal to the data processing unit; the data processing unit calculates the on-way temperature and the leakage position of the pipeline and gives an alarm for abnormal data; the problem that a traditional flexible composite pipe lacks a sensing function is solved, environmental pollution and energy loss caused by pipe transportation oil gas leakage are effectively reduced, safety and stability of oil gas transportation are guaranteed, and the intelligent development of the composite pipeline industry is promoted.

The invention relates to the field of subway tunnel lining disease detection technologies, in particular to a subway tunnel lining disease detection method and system, a terminal and a medium, and the method comprises the steps: obtaining a detection instruction; obtaining tunnel information based on the detection instruction; identifying disease information based on the tunnel information; acquiring the disease type based on the disease information; obtaining the number of the disease types based on the disease types, and calculating a difference value between the number of each disease type and a preset value; sorting the plurality of difference values; obtaining maintenance priorities of the plurality of disease types based on the sorting of the plurality of difference values; and obtaining a maintenance scheme of each disease type in sequence based on the maintenance priorities of the plurality of disease types. The detection efficiency can be improved.

System and associated methods relate to detecting and responding to hydrogen leakage in an aircraft. The system includes a hydrogen tank and a fuel pipeline surrounded by an enclosed chamber. The system further includes one or more vacuum pumps fluidly coupled to the enclosed chamber to create the control volume vacuum. The system further includes vacuum sensors mounted within the control volume vacuum, configured to sense a vacuum pressure value. The system further includes hydrogen detectors fluidly connected downstream of the one or more vacuum pumps, configured to sense the hydrogen concentration of the exhaust from the one or more vacuum pumps. The system further includes a controller and an emergency vacuum. The controller is configured to evaluate whether an emergency hydrogen leak condition exists based upon the vacuum pressure value and the hydrogen concentration. The controller can then open a valve to operate emergency vacuum if necessary.

A navigation apparatus for use in navigating a pipe includes a body, a movable core coupled to the body by a sacrificial connector, and a drive assembly configured to engage an interior wall of the pipe to propel the navigation apparatus through the pipe. The drive assembly including a first arm, a second arm, and a wheel, wherein the first arm is pivotably coupled to the core and the wheel, and the second arm is pivotably coupled to the body and the wheel.

Methods for Ultrasonic Flow Metering, Ultrasonic Flow Meter Calibration, and Ultrasonic Fluid Characterization. Focusing on the governing principles and equations of flow measurement for ultrasonic flow meters, using temperature referenced differential and absolute time of flight measurements to characterize fluid motion. As well as, experimental solutions to meter calibration constants, thermal expansion, concentration change in fluid validation / correction using a ratiometric approach comparing expected and measured zero flow measurements, change of fluid in process validation / correction using acoustic properties of a specific fluid, and zero flow correlations / validation based on time of flight and temperature, referenced to historically captured data and the acoustic properties of the fluid in the process.

The invention relates to an industrial gas tank storage place early warning method and system. The method comprises the following steps: acquiring image time sequence data at least representing temperature field distribution of a target monitoring area, generating a temperature image sequence, determining area temperature change characteristics and tank body surface reflection characteristics in the area, and generating reflection area probability distribution of the target monitoring area to determine initial gas leakage probability data of the target monitoring area; generating baseline feature data at least representing background thermal field distribution of the target monitoring area; and performing association processing on the initial gas leakage probability data and the baseline feature data to generate fusion time sequence features and determine a gas leakage diffusion weight so as to correct the initial gas leakage probability data to obtain corrected gas leakage probability data. By adopting the method, the gas leakage probability can be accurately judged by comprehensively utilizing temperature field time sequence information, tank body surface reflection characteristics and background thermal field distribution characteristics under the condition of a complex background thermal field, so that early warning is realized.

The invention relates to the field of oil and gas geophysical prospecting engineering, and discloses a method for effectively monitoring carbon dioxide sequestration leakage, which comprises the following steps: S1, establishing a geologic model for carbon dioxide sequestration, carrying out oil reservoir simulation, and constructing a time shift synthesis model of different carbon dioxide saturations; s2, analyzing reservoir rock physical response characteristics under different carbon dioxide saturations by using a rock physics theory, and deducing an elastic parameter model of the reservoir rock; s3, seismic forward modeling is carried out by using the viscoacoustic wave equation of the standard linear solid attenuation model, time-lapse seismic data are generated, and reverse time migration imaging is carried out; and S4, on the basis of the reverse time migration profile obtained in the step S3, the leakage conditions of the injected carbon dioxide in the front-middle-later period are monitored in real time by using a spectrum ratio method of an imaging domain. According to the working process provided by the invention, through integration of reservoir simulation, rock physical analysis and time-lapse seismic monitoring technologies, comprehensive monitoring and prediction of carbon dioxide plume migration are realized.

The invention relates to the technical field of packaging quality detection, and discloses an aluminum foil sealing quality detection system, which comprises a transmission module, a detection module and a control module, the thermal imaging acquisition module is used for acquiring temperature distribution data of a sealing area on the to-be-detected container; the image processing module is used for analyzing the temperature distribution data based on an image recognition algorithm and extracting defect characteristics of the aluminum foil seal; the temperature calibration module is used for dynamically calibrating the thermal imaging acquisition module according to preset parameters; the sorting module is used for removing defective products from the conveying module according to the extracted defect features; and the intelligent decision module is used for integrating the detection data and the production parameters, generating process optimization suggestions and outputting regulation and control instructions. According to the system and the method, high-precision real-time detection and classification of aluminum foil sealing defects are realized, and meanwhile, the automation level, the detection stability and the quality control efficiency of a production line are improved through dynamic sorting and process optimization suggestion output.

The invention provides a molecular air chamber leakage rate detection method, electronic equipment and a detection system, and the method comprises the steps: testing the spectrum data of a to-be-detected molecular air chamber; calculating the full width at half maximum of the wave spectrum data according to the wave spectrum data; and determining the leak rate of the molecular air chamber to be detected based on the full width at half maximum obtained at multiple times. According to the method, the degree of purity in the molecular air chamber cannot be affected under the condition that the leak rate detection precision of the molecular air chamber is better guaranteed.

A structure plumbing flow simulation apparatus is described herein. An example structure plumbing flow simulation apparatus may include: (1) a reservoir configured to hold a set volume of a liquid; (2) a pump connected to the reservoir configured to pump the liquid; (3) a pressure source connected to the pump and configured to pressurize the liquid from the pump which flows to a water shut off valve downstream of the pressure source; (4) one or more pipes connected to the pressure source and adapted to be connected to the water shut off valve; and / or (5) a pipette connected to the one or more pipes.

The invention provides a method and a device for detecting damage points of a drainage pipe network. The method comprises the following steps: acquiring water quality fluorescence fingerprint data corresponding to upstream and downstream target inspection nodes of the drainage pipe network respectively; performing water quality fluorescence fingerprint similarity comparison based on the water quality fluorescence fingerprint spectrum data to obtain a water quality fluorescence fingerprint similarity result between the upstream and downstream target inspection nodes; based on the water quality fluorescence fingerprint data of the upstream target inspection node and the water quality fluorescence fingerprint data of the downstream target inspection node, obtaining a water quality fluorescence fingerprint intensity change value between the upstream target inspection node and the downstream target inspection node; and based on the water quality fluorescence fingerprint similarity result and the water quality fluorescence fingerprint intensity change value, determining a comprehensive judgment result of damage between the upstream and downstream target inspection nodes of the drainage pipe network. The method provided by the invention is high in detection sensitivity and simple and convenient to operate, and can effectively improve the efficiency and accuracy of drainage pipe network damage result detection, so that the economic cost and the time cost are greatly reduced.

The invention provides an engine gas circuit pipeline blockage monitoring and early warning method and device, and the method comprises the steps: (1) arranging a vibration collection device on an engine gas circuit pipeline, obtaining vibration data of multiple working conditions, and dividing the vibration data into a training set, a verification set and a test set; (2) calculating a spectrum centroid, a short-time zero-crossing rate and a short-time energy feature, and fusing by using a cross attention mechanism to generate a multi-granularity feature; (3) introducing a channel attention module, a space attention module, a multi-view bidirectional LSTM module and a multi-scale self-attention module, and capturing subtle difference features of the vibration signals; (4) designing a conditional fault feature diffusion module and a progressive interlaced learning strategy, and improving the generalization ability and adaptability of the model on different models of engines through feature domain distribution bridging and alternate optimization; and (5) inputting test set data into the model, accurately judging the blockage degree according to classification scores, covering three states of unobstructed, semi-blocked and blocked, and realizing multi-level blockage monitoring and early warning of the gas path pipeline of the engine.

The utility model discloses a watertight connector leakage and damage monitoring device based on a fiber grating. The device comprises a watertight connector socket, a watertight connector plug and a fiber grating sensor, the watertight connector plug is inserted into the watertight connector socket, and the fiber grating sensor is arranged in a monitoring hole of the watertight connector socket. According to the utility model, the fiber grating sensor is used for monitoring the watertight connector, so that real-time and accurate monitoring of leakage and damage of the watertight connector is realized, and the limitation of a traditional manual inspection method is effectively overcome.

A system of evaluating a mobile device includes a sensing device that captures data while a force is being applied to a display of the mobile device while the mobile device is held stationary; and a processing device to process the data and determine the force applied and a displacement of the display while the force is being applied.