641results about "Fluid-tightness measurement using light" patented technology

The invention discloses a transformer oil leakage detection method and device based on polarization-ultraviolet fusion imaging, and the device comprises a housing, a support, a camera, an environment induction device, an overall controller, a power supply, a polaroid rotating wheel assembly, a lens seat assembly, and an image processor. And the motor driver, the illumination intensity sensor, the ultraviolet irradiance sensor, the image processor and the power supply are electrically connected with the integral controller respectively. According to the invention, a multi-angle polarization image and a non-polarization image in the same field of view can be acquired, and then polarization characteristics contained in an oil stain fluorescence signal are extracted and effectively distinguished from non-polarization characteristics of background light; in the daytime mode, the transformer oil leakage detection device can identify a target area with relatively high polarization intensity, and through image fusion enhancement processing, non-target background signals are significantly suppressed, and the fluorescence significance of an oil leakage characteristic area is improved.

The invention provides an eccentric butterfly valve performance detection method and system based on optical detection. The method comprises the steps that a first image of light transmission intensity distribution of a sealing pair structure of a bidirectional all-metal hard sealing four-eccentric butterfly valve is obtained; acquiring a reflection interference image of the structured light on the sealing pair structure according to the phase modulation structure grating light field, and performing conjoint analysis in combination with the first image to generate a contact pressure distribution matrix; based on the first image and the contact pressure distribution matrix, extracting corresponding multi-dimensional image features to generate a leakage early warning area map; space comparison is carried out on the leakage early warning area map and the floating response track of the sealing pair structure in the opening and closing process, and the corresponding floating response characteristics of the leakage early warning area in the opening and closing process are determined; and generating a butterfly valve sealing performance detection result according to the abnormal degree of the floating response characteristics. Through the implementation of the scheme, the leakage early warning area and the corresponding dynamic abnormal characteristics can be identified in advance, and the safety and the operation stability of the system are improved.

The invention discloses a detection device for oil and gas pipeline sealing element production, and belongs to the technical field of pipeline sealing element detection, the detection device comprises a detection table and a gas detection mechanism, the detection table is fixedly provided with a fixing frame, and one end of the fixing frame is provided with a sealing driving mechanism; the gas detection mechanism comprises a gas injection part, a gas detection part and a gas auxiliary detection unit; the gas injection part is used for injecting detection gas into the sealing element body, the gas detection part is used for detecting gas leaked from the sealing element body, the gas auxiliary detection unit comprises a light source and an industrial camera, the light source is inserted into the sealing element body, and the upper portion of the light source is connected with the output end of a first motor; the industrial camera and the gas detection part are both located on the outer side of the sealing part body and rotate around the sealing part body. The device has the advantages that various detection modes are coordinated and matched, and all-directional accurate detection of the defects of the sealing element is realized.

The invention discloses a soft package leakproofness detection method and system based on image recognition, and relates to the related field of soft package leakproofness detection.The method comprises the steps that a to-be-detected soft package is placed in a vacuumizing cavity, first-stage infrared irradiation is executed under the first pressure condition, and initial image data are collected; performing negative pressure treatment on the vacuumized cavity to a set pressure threshold value, executing second-stage infrared irradiation under a second pressure condition, and collecting deformation image data; performing registration alignment on the initial image data and the deformed image data, extracting image feature difference data, and calculating a deformation vector of the sealed area according to the image feature difference data; and constructing a soft package surface deformation distribution diagram according to the deformation vector to perform sealing judgment, and determining a package leakage detection result. The technical problem of low efficiency and accuracy of the existing soft package sealing performance detection is solved, and the technical effect of improving the sealing performance detection efficiency and accuracy is achieved.

A method of imaging an internal surface of a conduit, the method including deploying an inspection assembly within an internal volume of a conduit, the inspection assembly having a camera and a lighting array including a plurality of light emitters; illuminating a region of interest on said internal surface using the lighting array; and capturing image data of the region of interest using the camera, the image data including spatial data and intensity data at a plurality of different narrowband wavelength ranges of light.

The invention discloses a carbon dioxide formation leakage monitoring device and method based on distributed optical fiber sensing. The device comprises a simulated formation, an injection system and a DTS system. A thermal insulation device, a thermometer and a production well system are mounted on the simulated stratum; the injection system is used for injecting carbon dioxide and liquid into the simulated stratum; the DTS system comprises a light source assembly, an optical fiber group, a detection assembly and a data acquisition and processing unit which are connected in sequence; a plurality of monitoring points of the optical fiber group are arranged, and the plurality of monitoring points are arranged in the simulated stratum at intervals; the detection assembly is used for detecting Rayleigh scattering frequency shift and Rayleigh backscattering light intensity and phase in the optical fiber group, and the data acquisition and processing unit is used for acquiring signals output by the detection assembly and performing data processing and analysis. According to the invention, fine monitoring and continuous monitoring of carbon dioxide stratum leakage can be realized, the environmental interference resistance is high, and the installation and maintenance cost is low.

Systems can include an acoustic sensor array configured to receive acoustic signals, an illuminator configured to emit electromagnetic radiation, an electromagnetic imaging tool configured to receive electromagnetic radiation, a distance measuring tool, and a processor. The processor can illuminate the target scene via the illuminator, receive electromagnetic image data from the electromagnetic imaging tool representative of the illuminated scene, receive acoustic data from the acoustic sensor array, and receive distance information from the distance measuring tool. The processor can be further configured to generate acoustic image data of the scene based on the received acoustic data and received distance information and generate a display image comprising combined acoustic image data and electromagnetic image data. The processor can determine depths of various acoustic signals within a scene and generate a representation of the scene the shows the determined depths, including floorplan and volumetric representations.

A hydrocarbon gas detection system including a longwave infrared camera, a spectral filter, and a computation unit. The spectral filter is disposed in the light path of the camera sensor. The spectral filter is made of a material selected from the group consisting of calcium fluoride, zinc sulfide, magnesium fluoride, and silicon. The computation unit is arranged to process image data of the longwave infrared camera for the hydrocarbon gas detection.

A gas emission monitoring system is configured for versatile deployment across various sites, including gas extraction locations, industrial settings, and environmental monitoring areas. The system may include a support structure holding a plurality of tubings, each equipped with at least one intake port. The tubings may be interconnected through a connecting tubing that ultimately links to an analysis tubing feeding into a gas analyzer. The design ensures that the intake ports are strategically positioned at different vertical levels relative to the ground, for example, for optimized air sampling. The gas analyzer may be configured to identify multiple types of gas content in a received air mixture, which is collected from the various intake ports. Thus, the systems discussed herein may provide a comprehensive, adaptable solution for real-time gas monitoring, capable of handling a broad range of gases and environmental conditions.

Apparatuses systems and methods for gas emission rate detection sensitivity and probability of detection (PoD) based on emission rate. A measurement system may be characterized by its ability to detect gas plumes as a function of the emission rate of those plumes. The measurement system may be characterized based on a generalized PoD function which expresses PoD relative to emission rate as a function of gas concentration noise and gas flow speed. In an example application, the PoD may be used to estimate a cumulative distribution of gas plumes which were not detected based on a cumulative distribution of measured gas plumes. In another example application, the PoD may be used to refine an estimate for a measured emission rate.

Some systems include an acoustic sensor array configured to receive acoustic signals, an electromagnetic imaging tool configured to receive electromagnetic radiation, a user interface, a display, and a processor. The processor can receive electromagnetic data from the electromagnetic imaging tool and acoustic data from the acoustic sensor array. The processor can generate acoustic image data of the scene based on the received acoustic data, generate a display image comprising combined acoustic image data and electromagnetic image data, and present the display image on the display. The processor can receive an annotation input from the user interface and update the display image based on the received annotation input. The processor can be configured to determine one or more acoustic parameters associated with the received acoustic signal and determine a criticality associated with the acoustic signal. A user can annotated the display image with determined criticality information or other determined information.

The invention relates to the technical field of gas leakage detection, and discloses a fault tree and deep learning fusion-based gas leakage early warning method and system, and the method comprises the steps: obtaining an acoustic signal, an optical image and an environment parameter, and carrying out the preprocessing; acoustic features are extracted from the preprocessed acoustic signals, and based on the preprocessed optical image, a target detection model is utilized to identify the position and confidence of a leakage area; dynamically calculating the probability of each node in the fault tree according to the acoustic features, the confidence coefficient of the leakage region and the environmental parameters; and fusing the leakage area confidence coefficient of the target detection model and the fault tree root node probability, generating a joint confidence coefficient, and outputting an early warning signal in a grading manner according to the joint confidence coefficient. According to the scheme, the early recognition robustness of weak leakage signals under complex working conditions can be remarkably improved, and the timeliness and accuracy of gas leakage detection and early warning are improved.

A pipeline inspection system includes an unmanned aerial vehicle (UAV) operable to travel in an airspace above a pipeline configured to transport a hydrocarbon fluid. The UAV includes sensors configured to detect a leak of the hydrocarbon fluid from the pipeline. The system includes a control system configured to perform operations including operating the UAV to travel at a first altitude range in the airspace, identifying a measurement, taken at the first altitude range, from a first sensor that indicates a location of a potential leak of the hydrocarbon fluid, based on the identified measurement from the first sensor, operating the UAV to travel at a second altitude range different from the first altitude range in the airspace, identifying a measurement, taken at the second altitude range, from a second sensor that indicates the location of the potential leak, and generating a recommended action based on the identified measurements.

Device for leak detection in containers for the reception and storage of liquids generally hazardous to water, characterized in that an electrically conductive layer (3) is arranged on the inside of the container wall and the container bottom in a container (1) to be monitored, that an electrically insulating layer (4) is arranged between the container contents (2) and the electrically conductive layer (3) and that at least one electrode (5) which is connected to an externally arranged evaluation unit is arranged in the container content (2).

Presented are smart testing systems for detecting leaks in electrochemical devices, methods for making / using such testing systems, and memory-stored instructions for automating operation of such systems. A method of detecting a leak in an electrochemical device includes positioning a temperature-controlled (TC) screen with an electrothermal device at a predefined distance from an infrared camera to define therebetween a test envelope. A testing system controller commands the electrothermal device to modify the TC screen's operating temperature to a predefined screen testing temperature. After positioning an electrochemical device in the test envelope, between the TC screen and infrared camera, the infrared camera captures infrared images of the electrochemical device within the test envelope, showing the device's housing located in front of the TC screen. The system controller then analyzes the captured infrared images of the electrochemical device to determine if a gas leak is present in the device housing.

The application provides a kind of eccentric butterfly valve performance detection method and system based on optical detection, the method comprises: obtaining the first image of the light transmission intensity distribution of the sealing pair structure of bidirectional full-metal hard sealing four eccentric butterfly valve;According to the reflection interference image of structured light on the sealing pair structure collected by phase modulation structure grating light field, and combined with the first image, joint analysis is carried out to generate contact pressure distribution matrix;Based on the first image and contact pressure distribution matrix, the corresponding multi-dimensional image features are extracted to generate leakage early warning area atlas;The floating response trajectory of the sealing pair structure in the opening and closing process is compared with the leakage early warning area atlas in space, and the corresponding floating response characteristics of the leakage early warning area in the opening and closing process are determined;According to the abnormal degree of floating response characteristics, the butterfly valve sealing performance detection result is generated. Through the implementation of the application scheme, the leakage early warning area and its corresponding dynamic abnormal characteristics can be identified in advance, and the safety and operation stability of the system are improved.

An apparatus (100) for monitoring a fluid pipe (1), the apparatus comprising a cable (11) disposed within the pipe (1). The cable (11) comprises a plurality of sensing fibres (10, 502, 508, 510), wherein the plurality of sensing fibres (10, 502, 508, 510) are spliced together (504, 512, 506) at their respective ends to form a continuous looped configuration (500) within the cable (11). The apparatus further comprises a light emitter (101) for introducing light pulses into the continuous looped configuration (500), a light detector (110) for detecting backscattering of the light pulses from the continuous looped (configuration 500) and outputting a backscattering signal in response thereto as well as a processing unit (103) configured to process the backscattering signal to identify backscattering signal features characteristic of particular events within or in a vicinity of the fluid pipe (1).

The invention discloses a ground equipment oil leakage hidden danger identification method and system, and the method comprises the steps: collecting the ground surface reflected light brightness data of a ground region of target equipment through a satellite multispectral channel, recognizing a suspected oil leakage region according to the ground surface reflected light brightness data, and extracting the position coordinates and boundary range of the suspected oil leakage region; the unmanned aerial vehicle detects the organic matter concentration of the suspected oil leakage area one by one according to the inspection flight route, determines concentration distribution data, identifies an abnormal concentration standard-exceeding area according to the concentration distribution data, and generates an abnormal concentration distribution area map corresponding to the abnormal concentration standard-exceeding area; and comparing and matching the suspected oil leakage region with the concentration anomaly region map, determining a comprehensive matching degree score about the position overlapping degree and the boundary consistency, comprehensively evaluating the suspected oil leakage region and the concentration anomaly exceeding region, and determining an actual oil leakage region, thereby improving the recognition efficiency and reliability of the oil leakage hidden danger.

A leak of a cold fluid (e.g., a chilled fluid, or a fluid that is initially pressurized and becomes cold on leakage) is detected using a sequence of Infrared (IR) and Visual (VI) images. Using neural nets, in each of VI and IR image-level features are extracted from images and compared with image-level features from images of different times to obtain motion-enhanced features. The motion enhanced features from VI and IR are then compared to obtain fused features from which the leak is detected. The image-level features may be extracted using a neural net with multiple stages. The motion-enhanced and fused features may be obtained in parallel using the image-level features from the multiple stages, and the leak detection based on the stage-specific fused features.

The invention discloses a tunnel harmful gas detection method and system and a storage medium, and relates to the technical field of tunnel engineering. The tunnel harmful gas detection method comprises the following steps: preliminarily detecting a geological high-risk area in a tunnel; determining a harmful gas leakage source in the geological high-risk area; monitoring the concentration of the harmful gas at the harmful gas leakage source; determining whether alarm information is generated or not according to the concentration of the harmful gas, and giving an alarm according to the alarm information; and the operation is periodically repeated. According to the method, the geological high-risk area in the tunnel is preliminarily detected, the harmful gas leakage source is determined in the geological high-risk area, the concentration of the harmful gas at the harmful gas leakage source is continuously monitored, the leakage condition of the harmful gas can be captured in real time, and the problem that sudden gas leakage cannot be found in time is avoided.

The utility model relates to the field of detection devices, in particular to a liquid immersion type pressure pipeline air tightness detection device, which comprises a liquid immersion box, a corrugated main pipe, a lifting frame and an air tightness immersion mounting pipe, through a separation area formed by the wave impingement plate and the blocking lines, in combination with a built-in infrared sensor, bubble dynamic states are monitored in real time, subjective errors of naked eye observation are eliminated, tiny leakage is effectively recognized, the lifting frame is driven by the air cylinder to ascend and descend, the water pressure in the liquid immersion box can be accurately adjusted, and pressure impacts of different working conditions on a pipeline can be simulated. Meanwhile, the wave impingement plate and the stabilizing plate cooperate to reduce water flow fluctuation interference, the airtight soaking mounting pipe is subjected to steering adjustment and air bag floating ball self-adaptive positioning, rapid adaptation of different pipe diameters and mounting angles is supported, the operation complexity is reduced, an airtight sleeve and a branch sleeve form a multi-layer sealing structure, and the service life is prolonged. The pressurizing box is combined to control the air pump to dynamically compensate air pressure, misjudgment or equipment damage caused by sudden pressure change in the detection process is prevented, and the overall detection effect is improved.

An optical detector for detecting a coolant leak from a liquid cooling system within an information handling system includes a light source and a sensor configured to absorb light emitted from objects illuminated by the light source. A first flexible waveguide is communicatively coupled to the light source, and a second flexible waveguide is communicatively coupled to the sensor. The optical detector is configured to detect a potential coolant leak in response to the sensor absorbing light having a predetermined characteristic. The light is reflected from an object illuminated by the first flexible waveguide. The reflected light is transmitted to the sensor via the second flexible waveguide.

A leak detection system is configured to provide vehicle-specific leak detection for a vehicle. The leak detection system includes a memory circuit having a plurality of leak detection instructions matched with vehicle identification information. The system additionally includes an ultraviolet light source and a camera configured to capture an image of an area illuminated by the ultraviolet light source. A processor is in operative communication with the memory circuit and the camera. The processor is configured to facilitate identification of at least one of the plurality of leak detection instructions in response to receipt of vehicle identification information associated with the vehicle, and compare the image captured by the camera to a known image of the vehicle to determine presence and location of a leak.

The present invention provides a method for leakage testing of an electrostatic chuck. The method for leakage testing of an electrostatic chuck comprises: a mounting step of mounting the electrostatic chuck on a test stage of a testing chamber; a loading step of loading a dummy substrate in an upper surface of the electrostatic chuck; a decompression step of decompressing an interior of the testing chamber; a tracking fluid supply step of supplying a tracking fluid with visibility to a flow path of the electrostatic chuck; a photographing step of photographing the electrostatic chuck; and a determination step of determining whether a leakage occurs in the flow path by examining an image photographed in the photographing step.

The invention discloses an automatic detection system for floating roof sealing of a storage tank, and relates to the technical field of sealing detection, and is technically characterized in that the automatic detection system comprises a connecting frame mounted at the top of the storage tank, a lifting mechanism is arranged on the connecting frame, and a horizontal displacement mechanism is arranged below the lifting mechanism; a detection mechanism for detecting the sealing performance is arranged on the movable part of the horizontal displacement mechanism, and the detection mechanism is in signal connection with a wireless transmission module; the sealing detection mechanism comprises a laser distance measuring sensor, an infrared thermal imager and a gas concentration sensor, a certain detection distance is kept between the laser distance measuring sensor and the edge of the floating roof of the storage tank by adjusting the lifting mechanism, and the field angle of the infrared thermal imager covers the full width of a sealing belt of the floating roof of the storage tank; the top sealing performance can be automatically detected, and the efficiency and the reliability are improved.

This application provides a device, method, and vehicle battery pack for detecting electrolyte leakage in a vehicle battery pack, relating to the field of vehicle battery technology. The device includes a microprocessor, a leakage detection module, and an alarm module. The leakage detection module includes an electrolyte detection module, which comprises an electrolyte-sensitive membrane, an excitation light source, and a light receiving probe disposed opposite to each other. The microprocessor is electrically connected to the light receiving probe. The excitation light source emits excitation light through the electrolyte-sensitive membrane to the light receiving probe; the light receiving probe receives the excitation light passing through the electrolyte-sensitive membrane and detects the light intensity; the microprocessor determines that there is electrolyte leakage in the vehicle battery pack when the light intensity attenuation relative to a preset light intensity threshold is greater than a set attenuation threshold. Since dust and moisture do not affect the light intensity of the excitation light passing through the electrolyte-sensitive membrane, the reliability of determining electrolyte leakage in the vehicle battery pack is high.

To accurately estimate a feature quantity related to a gas concentration and accurately measure a gas concentration in a space even in a case where a background temperature changes due to a factor other than gas.A gas concentration measuring device 20 includes an inspection image acquisition unit 211 that acquires infrared image time-series data captured by an infrared camera 10, a pixel specifying unit 2121 that specifies a target pixel for gas concentration measurement and a reference pixel with a gas concentration lower than a gas concentration of the target pixel in the infrared image, a without-gas background temperature estimation unit 2122 that estimates without-gas background temperature time-series infrared data in the target pixel based on target pixel time-series infrared data and reference pixel time-series infrared data in time-series data of the infrared image, and a concentration-feature-quantity calculation unit 2123 that calculates time-series data of a feature quantity related to a gas concentration of the target pixel based on the target pixel time-series infrared data and without-gas background temperature time-series infrared data of the target pixel.

Techniques are provided for facilitating detection threshold determination for infrared imaging systems and methods. In one example, a method includes capturing, by an imaging device, a thermal image of a scene. The method further includes determining temperature difference data indicative of a difference between temperature data of the thermal image associated with a background of the scene and temperature data of the thermal image associated with gas detection. The method further includes determining detection threshold data based on sensitivity characteristics associated with the imaging device and the temperature difference data. The method further includes generating a detection threshold image based on the detection threshold data. Each pixel of the detection threshold image corresponds to a respective pixel of the thermal image and has a value indicative of a detection threshold associated with the respective pixel of the thermal image. Related devices and systems are also provided.

Systems and methods for monitoring underwater structures are provided. First and second sets of point cloud data that are obtained at different times are compared to determine whether the location of the underwater structure has changed. For detecting vibration, a series of range measurements taken along a line intersecting the underwater structure are compared to one another to determine an amplitude and frequency of any vibration present in the underwater structure. For detecting temperature, the ratio of different components of return signals obtained from a point in the water surrounding the underwater structure is measured to derive the temperature of the water. Leak detection can be performed by scanning areas around the underwater structure. Monitoring systems can include a primary receiver for range measurements, and first and second temperature channel receivers for temperature measurements.