Embodiments of a system and method for endoscope cleaning and inspection are disclosed. In an example, an endoscope cleaning and inspection unit includes cleaning and testing capabilities operated via control equipment and a display screen, to operate leak testing equipment, flush control equipment, and optical inspection equipment for leak testing, flushing, rinsing, and inspection of an endoscope interior chamber (lumen) and exterior surfaces. In a further example, the endoscope cleaning and inspection unit may further operate and receive information from a borescope imaging device or a magnification imaging device, using an imaging sensor to capture images of an endoscope lumen or surface respectively, as captured or output on the display screen. Further embodiments provide for control, monitoring, data collection, data input, and data output with such imaging devices via the endoscope cleaning and inspection unit.

Embodiments of a system and method for endoscope cleaning and inspection are disclosed. In an example, an endoscope cleaning and inspection unit includes cleaning and testing capabilities operated via control equipment and a display screen, to operate leak testing equipment, flush control equipment, and optical inspection equipment for leak testing, flushing, rinsing, and inspection of an endoscope interior chamber (lumen) and exterior surfaces. In a further example, the endoscope cleaning and inspection unit may further operate and receive information from a borescope imaging device or a magnification imaging device, using an imaging sensor to capture images of an endoscope lumen or surface respectively, as captured or output on the display screen. Further embodiments provide for control, monitoring, data collection, data input, and data output with such imaging devices via the endoscope cleaning and inspection unit.

A low cost, low power, passive optical methane monitoring system for fixed-position installation at oil and gas production well pads and gathering centers is disclosed. The optical methane monitoring system disclosed can be a scannable field of view Near Infrared (NIR) filter photometer to detect and quantify methane concentration in a two dimensional or a three dimensional grid above and around a facility. A randomized fiber optic bundle is disclosed that can be used to direct the total optical power from a collection lens to two or more isolated optical channels. Band pass filters isolate a desired wavelength range for transmission measurements for the two or more channels. Also disclosed is an absorption algorithm which accounts for variable background spectral intensity as well as correcting for water vapor and overall scattering effects to measure methane concentration for a given field of view.

Provided is an oil leakage detection apparatus by which oil leakage detection is performed even for colorless oil with high detection accuracy and without complicating the apparatus. The oil leakage detection apparatus of the invention includes a distance measurement unit configured to measure a distance to the oil-input machine, an ultraviolet light source configured to irradiate the oil-input machine with ultraviolet light, a color imaging unit configured to capture an image of the oil-input machine irradiated with ultraviolet light, an image processing unit configured to diagnose oil leakage of the oil-input machine based on the distance measured by the distance measurement unit and the captured image of the color imaging unit, and a display unit configured to display a processed image processed by the image processing unit. Further, an oil leakage detection method of the invention includes measuring a distance from an oil-input machine, irradiating the oil-input device with ultraviolet light, capturing an image of the oil-input machine irradiated with ultraviolet light, diagnosing oil leakage of the oil-input machine based on the measured distance and the captured image, and displaying a processed image after the diagnosis processing.

Provided is an oil leakage detection apparatus by which oil leakage detection is performed even for colorless oil with high detection accuracy and without complicating the apparatus. The oil leakage detection apparatus of the invention includes a distance measurement unit configured to measure a distance to the oil-input machine, an ultraviolet light source configured to irradiate the oil-input machine with ultraviolet light, a color imaging unit configured to capture an image of the oil-input machine irradiated with ultraviolet light, an image processing unit configured to diagnose oil leakage of the oil-input machine based on the distance measured by the distance measurement unit and the captured image of the color imaging unit, and a display unit configured to display a processed image processed by the image processing unit. Further, an oil leakage detection method of the invention includes measuring a distance from an oil-input machine, irradiating the oil-input device with ultraviolet light, capturing an image of the oil-input machine irradiated with ultraviolet light, diagnosing oil leakage of the oil-input machine based on the measured distance and the captured image, and displaying a processed image after the diagnosis processing.

Embodiments of a system and method for endoscope cleaning and inspection are disclosed. In an example, an endoscope cleaning and inspection unit includes cleaning and testing capabilities operated via control equipment and a display screen, to operate leak testing equipment, flush control equipment, and optical inspection equipment for leak testing, flushing, rinsing, and inspection of an endoscope interior chamber (lumen) and exterior surfaces. In a further example, the endoscope cleaning and inspection unit may further operate and receive information from a borescope imaging device or a magnification imaging device, using an imaging sensor to capture images of an endoscope lumen or surface respectively, as captured or output on the display screen. Further embodiments provide for control, monitoring, data collection, data input, and data output with such imaging devices via the endoscope cleaning and inspection unit.

Embodiments of a system and method for endoscope cleaning and inspection are disclosed. In an example, an endoscope cleaning and inspection unit includes cleaning and testing capabilities operated via control equipment and a display screen, to operate leak testing equipment, flush control equipment, and optical inspection equipment for leak testing, flushing, rinsing, and inspection of an endoscope interior chamber (lumen) and exterior surfaces. In a further example, the endoscope cleaning and inspection unit may further operate and receive information from a borescope imaging device or a magnification imaging device, using an imaging sensor to capture images of an endoscope lumen or surface respectively, as captured or output on the display screen. Further embodiments provide for control, monitoring, data collection, data input, and data output with such imaging devices via the endoscope cleaning and inspection unit.

A monitoring system, method, and device for sealing electrical equipment (10) and electrical equipment (10) with monitored sealing, including at least one sensor set (100), at least one signaling system (15) and at least one drying system (300), wherein the sensor set (100) includes at least one moisture sensor (20) and at least one liquid presence sensor (25) connected to at least one centralizing element (30), wherein the centralizing element (30) is configured to receive data from at least the sensors and generate outputs corresponding thereto, defining the type of liquid in contact with a sensor, assessing the integrity of the sealing system, and detecting the loss of efficiency of the drying system (300). The system may be configured to detect trends and automatically generate alarms and recommendations, mitigating the from inspections of sealing systems on electrical equipment (10) while enhancing the reliability of the operation, lowering costs and enhancing safety and security.

A smart pipe segment for use in construction of a pipeline. The smart pipe segment includes a pipe body and a sensing nerve network that is associated with the pipe body and is configured to monitor a condition of the pipe segment in real-time. The sensing nerve network comprises optical nerves, electrical nerves or a combination thereof.

A smart pipe segment for use in construction of a pipeline. The smart pipe segment includes a pipe body and a sensing nerve network that is associated with the pipe body and is configured to monitor a condition of the pipe segment in real-time. The sensing nerve network comprises optical nerves, electrical nerves or a combination thereof.