Abstract: A separator for removing contamination from a fluid of a heat pump includes a housing having a hollow interior, a separation component mounted within the hollow interior, and at least one turbulence-generating element positioned within the hollow interior adjacent the separation component.

Abstract: An electric motor includes a rotor having a rotor shaft part and a first shaft part and a second shaft part. The rotor shaft is situated axially between the first and the second shaft parts. The first shaft part includes a first bearing seat and is connected to the rotor shaft part in a torsionally fixed manner, and the second shaft part includes a second bearing seat and is connected to the rotor shaft part in a torsionally fixed manner.

Abstract: The method for increasing the accuracy of grasping an object can include: labelling an image based on an attempted object grasp by a robot and generating a trained graspability network using the labelled images. The method can additionally or alternatively include determining a grasp point using the trained graspability network; executing an object grasp at the grasp point S400; and/or any other suitable elements.

Abstract: Systems and methods for headset windowing may include determining a geometry of a first object used with a computing system in a work space; determining, based on information received from a sensor, when the user wearing a VR headset tilts their head to bring the first object into view of the VR headset; and displaying a first window on a display of the VR headset, the first window being dimensioned to conform to the geometry of the first object in view of the headset.

Abstract: The method for increasing the accuracy of grasping an object can include: labelling an image based on an attempted object grasp by a robot and generating a trained graspability network using the labelled images. The method can additionally or alternatively include determining a grasp point using the trained graspability network; executing an object grasp at the grasp point S400; and/or any other suitable elements.

Abstract: A method for object grasping, including: determining features of a scene; determining candidate grasp locations; determining a set of candidate grasp proposals for the candidate grasp locations; optionally modifying a candidate grasp proposal of the set; determining grasp scores associated with the candidate grasp proposals; selecting a set of final grasp proposals based on the grasp scores; and executing a grasp proposal from the set of final grasp proposals.

Abstract: The invention relates to a device (1) for the internal welding of pipes and profiles, comprising a cantilever arm (2, 2a), which is secured to a suspension (3), which cantilever arm can be inserted into the pipe or profile to be welded and on which a welding head (4) is displaceably attached, the cantilever arm (2, 2a) further comprising at least one laser (5) and at least one camera (6). To avoid the disadvantageous effects of magnetism and heat on the position of the welding head (4), the invention proposes that a laser (5) is attached on the suspension (3), and a camera (6) for observing the laser beam (5a) is attached on the end of the cantilever arm (3) or on the welding head (4). A correction signal is calculated from the change in position of the laser beam (5a) observed with the camera (6) and forwarded to a control unit for adjusting the welding head (4) by means of displacement devices (8, 9).

Abstract: The present invention provides an economizer, including a housing having a first section and a second section; and a condenser outlet, an evaporator inlet, and a compressor intermediate-stage inlet that are disposed on the second section of the housing; wherein the first section has a contour matching a housing of a commonly used condenser, such that the first section can fit the housing of the condenser. The economizer of the present invention can better match an outer contour of a conventional condenser, so that the both can fit each other in arrangement as much as possible when applied to an overall layout of a refrigeration system, thereby significantly reducing a transverse space occupied by the refrigeration system.

Abstract: A metal pipe and a system of pipes, and a method of producing the same. The pipe is for conveying oil and gas. The pipe includes a metal coating in a transition region. The metal coating of the transition region obviates a subsequent coating of the inner surface of the transition region after connecting two pipes using a welding process in order to form a pipeline.

Abstract: A refrigeration system, includes a compressor, a condenser (200), a throttle flow path (100), and an evaporator (300) connected in sequence. A non-adjustable main throttle element (110,120) is disposed in the throttle flow path. A bypass flow path (500) is connected to the throttle flow path respectively at the upstream and downstream of the main throttle element, and provided with an adjustable auxiliary throttle element (510) thereon. A liquid level sensor is disposed upstream or downstream of the throttle flow path, and configured to detect the liquid level. A controller is configured to control the opening of the auxiliary throttle element according to a liquid level signal from the liquid level sensor.

Abstract: The present disclosure involves systems, software, and computer implemented methods for transaction auditing. One example method includes receiving text submitted with a request. Token values are automatically extracted for selected token types from the text using a machine learning model. Tokens are identified in the text, and for each token, features and a token type of the token are determined, along with a score that indicates a likelihood that the token has the token type. A token value is extracted for the token from the text. Extracted token values are compared to request data values. A request value for the selected token type is identified in the data values for each selected token type. The extracted token value for each selected token type is compared to the request value. An audit alert is generated in response to determining that an extracted token value does not match a corresponding request value.

Abstract: An electric motor includes a rotor having a rotor shaft part and a first shaft part and a second shaft part. The rotor shaft is situated axially between the first and the second shaft parts. The first shaft part includes a first bearing seat and is connected to the rotor shaft part in a torsionally fixed manner, and the second shaft part includes a second bearing seat and is connected to the rotor shaft part in a torsionally fixed manner.

Abstract: The present disclosure involves systems, software, and computer implemented methods for transaction auditing. One example method includes receiving text submitted with a request. Token values are automatically extracted for selected token types from the text using a machine learning model. Tokens are identified in the text, and for each token, features and a token type of the token are determined, along with a score that indicates a likelihood that the token has the token type. A token value is extracted for the token from the text. Extracted token values are compared to request data values. A request value for the selected token type is identified in the data values for each selected token type. The extracted token value for each selected token type is compared to the request value. An audit alert is generated in response to determining that an extracted token value does not match a corresponding request value.

Abstract: A method for generating training data can include: determining a set of images; determining a set of masks based on the images; determining a first mesh based on the set of masks; optionally determining a refined mesh by recomputing the first mesh; optionally determining one or more faces of the refined mesh; optionally adding one or more keypoints to the refined mesh; optionally determining a material property set for the object; optionally generating a full object mesh; determining one or more scenes; optionally determining training data based on the one or more scenes; optionally training one or more object detectors using the training data; and detecting one or more objects using the trained object detector.

Abstract: A heat exchange system and a method for reclaiming corrosion inhibitor in a heat exchange system are provided by the present disclosure. The heat exchange system includes a compressor (1), a condenser (2) and an evaporator (3) connected in sequence, and the heat exchange system further includes a system for reclaiming corrosion inhibitor which includes an ejector (6) including a high-pressure fluid inlet (61) connected to an outlet (11) of the compressor, a suction fluid inlet (62) connected to the heat exchange system to extract a liquid-state refrigerant in the heat exchange system, and a fluid outlet (63) leading to bearings of the compressor, wherein a pressurizing device (5) is provided between the outlet of the compressor and the high-pressure fluid inlet of the ejector. The heat exchange system according to the embodiments of the present disclosure can provide sufficient corrosion inhibitor to the bearings of the compressor under various working conditions.

Abstract: A flanged connecting assembly, which comprises: a first flange (210); a second flange (220) with a diameter greater than the diameter of the first flange; and a third flange (230), provided with a first portion (231) and a second portion (232) forming a step; wherein the first portion (231) is fitted to the first flange (210) through a first sealing element (310), and the second portion (232) is fitted to the second flange (220) through a second sealing element (320); and the first flange (210) and the second flange (220) are spaced from each other by a first distance. In this way, a gap formed under the fit of the three flanges can allow a used sealing element to be taken out vie the gap and/or a new sealing element to be assembled in via the gap.

Abstract: A computing system includes a server. The server is communicatively coupled to a data repository and is configured to store a data in the data repository. The server is further configured to configure, via the data stream handler system, the data stream object to transmit a request to an external system. The server is additionally configured to configure, via the data stream handler system, the data stream object to capture a response from the external system, wherein the response comprises a paginated data set, a data stream, or a combination thereof, wherein creating the data stream object, configuring the data stream object to transmit the request, configuring the data stream object to capture the response, or a combination thereof, comprises using visual controls in lieu of entering text for a computer program.

Abstract: A method for generating training data can include: determining a set of images; determining a set of masks based on the images; determining a first mesh based on the set of masks; optionally determining a refined mesh by recomputing the first mesh; optionally determining one or more faces of the refined mesh; optionally adding one or more keypoints to the refined mesh; optionally determining a material property set for the object; optionally generating a full object mesh; determining one or more scenes; optionally determining training data based on the one or more scenes; optionally training one or more object detectors using the training data; and detecting one or more objects using the trained object detector.

Abstract: A method for object grasping, including: determining features of a scene; determining candidate grasp locations; determining a set of candidate grasp proposals for the candidate grasp locations; optionally modifying a candidate grasp proposal of the set; determining grasp scores associated with the candidate grasp proposals; selecting a set of final grasp proposals based on the grasp scores; and executing a grasp proposal from the set of final grasp proposals.

Abstract: A method for generating training data can include: determining a set of images; determining a set of masks based on the images; determining a first mesh based on the set of masks; optionally determining a refined mesh by recomputing the first mesh; optionally determining one or more faces of the refined mesh; optionally adding one or more keypoints to the refined mesh; optionally determining a material property set for the object; optionally generating a full object mesh; determining one or more scenes; optionally determining training data based on the one or more scenes; optionally training one or more object detectors using the training data; and detecting one or more objects using the trained object detector.