Abstract: A system for determining corrosion under insulation of an industrial asset is provided. The system includes an infrared camera configured to acquire one or more time-series infrared images of an industrial asset. The system further includes a computing device configured to receive data characterizing the one or more time-series infrared images, and to identify an area of interest of the industrial asset within the one or more time-series infrared images. The computing device further configured to identify, by a machine learning algorithm, a plurality of defects within the area of interest based on pixel-wise assignment of at least one defect category selected from a plurality of defect categories associated with corrosion under insulation of the industrial asset, and to provide the plurality of defects within the area of interest of the industrial asset. Related methods, apparatuses, and computer-readable mediums are also provided.

Abstract: In an embodiment, a volumetry method is provided. The method can include receiving one or more 2D images of a site including one or more containers configured to hold a liquid, the 2D images being acquired at a first time. The method can also include identifying a container within the 2D images. The method can further include selecting an identified container within the 2D images for volumetric analysis based upon a degree of occlusion of its front facing surface. The method can additionally include classifying a portion of the selected container containing the liquid. The method can further include determining the volume of liquid held within the container based upon the classified portion.

Abstract: A photogrammetry system includes a memory, a processor, and a geo-positioning device. The geo-positioning device outputs telemetry regarding a vehicle on which one or more cameras are mounted. The processor can receive first telemetry from the geo-positioning device characterizing the vehicle telemetry at a first time, camera specification(s) regarding the cameras, photogrammetric requirement(s) for captured images, and a last camera trigger time. The processor can determine a next trigger time for the cameras based upon the received telemetry, camera specification(s), photogrammetric requirement(s), and last trigger time. The processor can transmit a trigger signal to the camera(s) and the geo-positioning device to cause the camera(s) to acquire images of a target and the geo-positioning device to store second vehicle telemetry data characterizing the vehicle telemetry at a second time that is after the first time and during acquisition of the images.

Abstract: A system is provided including an unmanned aerial vehicle. The unmanned aerial vehicle can include at least one gas sensor and a manifold coupled to the at least one gas sensor. The manifold can include at least one sample conduit including a sample inlet, a filter, and a valve coupled to the filter. The unmanned aerial vehicle can include a controller and a computing device coupled to the controller. The computing device can include a processor configured to perform operations to receive sensor data characterizing a first sample of a first gas sampled via the at least one sensor. The processor can also determine sample data associated with the first gas based on the sensor data. The sample data can include a concentration and a type of the first gas. The processor can further provide the sample data. Related methods, apparatus, techniques and articles are also described.

Abstract: A method for determining a change in an asset and/or a characterization of an asset is provided. In an embodiment, the method can include receiving first data characterizing a target site including one or more assets. The method can also include generating a three-dimensional model of the target site based on the first data. The method can further include registering the first data with the three-dimensional model. The method can also include generating at least one three-dimensional projection onto at least one asset of the one or more assets included in the first data. The method can further include determining second data characterizing the at least one asset based on the at least on three-dimensional projection and providing the second data. In some embodiments, the method can be performed by systems or stored as instructions on computer readable mediums described herein.

Abstract: A photogrammetry system includes a memory, a processor, and a geo-positioning device. The geo-positioning device outputs telemetry regarding a vehicle on which one or more cameras are mounted. The processor can receive first telemetry from the geo-positioning device characterizing the vehicle telemetry at a first time, camera specification(s) regarding the cameras, photogrammetric requirement(s) for captured images, and a last camera trigger time. The processor can determine a next trigger time for the cameras based upon the received telemetry, camera specification(s), photogrammetric requirement(s), and last trigger time. The processor can transmit a trigger signal to the camera(s) and the geo-positioning device to cause the camera(s) to acquire images of a target and the geo-positioning device to store second vehicle telemetry data characterizing the vehicle telemetry at a second time that is after the first time and during acquisition of the images.

Abstract: In an embodiment, a volumetry method is provided. The method can include receiving one or more 2D images of a site including one or more containers configured to hold a liquid, the 2D images being acquired at a first time. The method can also include identifying a container within the 2D images. The method can further include selecting an identified container within the 2D images for volumetric analysis based upon a degree of occlusion of its front facing surface. The method can additionally include classifying a portion of the selected container containing the liquid. The method can further include determining the volume of liquid held within the container based upon the classified portion.

Abstract: A photogrammetry system includes a memory, a processor, and a geo-positioning device. The geo-positioning device outputs telemetry regarding a vehicle on which one or more cameras are mounted. The processor can receive first telemetry from the geo-positioning device characterizing the vehicle telemetry at a first time, camera specification(s) regarding the cameras, photogrammetric requirement(s) for captured images, and a last camera trigger time. The processor can determine a next trigger time for the cameras based upon the received telemetry, camera specification(s), photogrammetric requirement(s), and last trigger time. The processor can transmit a trigger signal to the camera(s) and the geo-positioning device to cause the camera(s) to acquire images of a target and the geo-positioning device to store second vehicle telemetry data characterizing the vehicle telemetry at a second time that is after the first time and during acquisition of the images.

Abstract: A water dispensing device comprises a container mounted to rotate about an axis. The container is adapted to receive and accumulate quantities of water. The container is pivotal mounted to rotate about the axis such that when the container accumulates more than a predetermined quantity of water, the container is adapted to rotate at least one rotation about the axis to dispense a quantity of water.

Abstract: A water dispensing device comprises a container mounted to rotate about an axis. The container is adapted to receive and accumulate quantities of water. The container is pivotal mounted to rotate about the axis such that when the container accumulates more than a predetermined quantity of water, the container is adapted to rotate at least one rotation about the axis to dispense a quantity of water.

Abstract: A gate valve has a body, the body having a cavity and a flow passage intersecting the cavity. A seat ring is mounted to the body at the intersection of the flow passage and the cavity, the seat ring having an engaging face. A gate in the cavity has an engaging face that slidingly engages the face of the seat ring while being moved between open and closed positions. A friction-resistant coating is on at least one of the faces.

Abstract: A valve seat has an outer surface, a rearward end, a face and a forward end. A passage extends from the rearward end to the face. A valve element slidingly contacts the face. Stress relief flanges are located on the face in areas of high bearing stress. Each flange has a thickness that allows it to deflect slightly to reduce bearing stresses.

Abstract: A gate valve has a body having a cavity and a stem passage extending from the cavity. A stem extends through the stem passage into the cavity for moving a gate in response to rotation of the stem. A conical backseat seal surface is formed at a junction of the stem passage with the cavity. A backseat seal has a leg extending outward from the stem and away from the stem passage. The leg has an outer surface with a sealing band that is spaced from the backseat seal surface during normal operation of the valve. The leg is flexible, causing the sealing band to deflect into sealing engagement with the backseat seal surface when the stem is moved axially to a backseat sealing position.

Abstract: A gate valve has a body, the body having a cavity and a flow passage intersecting the cavity. A seat ring is mounted to the body at the intersection of the flow passage and the cavity, the seat ring having an engaging face. A gate in the cavity has an engaging face that slidingly engages the face of the seat ring while being moved between open and closed positions. A polymer coating is on at least one of the faces. The polymer contains a quantity of carbon nanotubes for stiffening.