ABB

The invention discloses a plug (1) comprising a shaped part for accommodating within it at least two terminals (7), means for electrical transfer suitable for connecting with an electrical device, connecting an at least two protruding pins (9) for transferring electricity from a power supply, wherein the shaped part comprises a front section suitable for being in contact with a socket (2), wherein the least two protruding pins (9) are mounted in the front section, wherein the shaped part further comprises an electronic tag (3) configured to transmit information stored in the electronic tag (3). The invention discloses also a socket (2) for electrical connection with a plug (1) comprising a mounting box (6) accommodating at least two terminals (7), wherein the mounting box (6) comprises a face plate (5) suitable for interconnection with the plug (1) and at least two wires providing electricity, the at least two terminals (7) are mounted in the face plate and suitable for receiving at least two protruding pins (9) of the plug (1) and transferring current from the wires to the at least two protruding pins (9) of the plug (1), wherein the mounting box (6) further comprises an electronic tag reader for reading an electronic tag (3) and retrieving data and a current. Further the invention discloses a system for an identification of an electrical device comprising a plug (1) and a socket (2), a transmitting means and an evaluation means. The plug (1) is plugged in the socket (2) providing reading an electronic tag (3) by an electronic reader, thereby providing data exchange between the electronic tag (3) and the electronic tag reader. The invention further discloses a method of identification of external electrical device.

The disclosure relates to a method (100) for obtaining diagnostic data in a distributed control system, DCS, the method comprising: - (S 102) obtaining issue data, wherein the issue data is indicative of a system anomaly or fault; - (S 104) processing the obtained issue data to determine diagnostic requirements; - (S 106) identifying a kernel-instrumenting bytecode data, kiBD (41), based on the determined diagnostic requirements; - (S 108) loading and activating the identified kiBD (41), wherein activation comprises linking the kiBD (41) to a system hook; and - (S 110) obtaining diagnostic data using the activated kiBD (41).

The invention relates to a method of operating a linear motor system and to a corresponding linear motor system (1), in particular in the form of a long-stator linear motor system or a planar motor system, comprising a stator (2), on which a plurality of drive coils (4) is arranged, and comprising at least one shuttle (3), on which drive magnets (5) are arranged and which moves relative to the stator (2). An electromagnetic field, which interacts with the drive magnets (5) of the shuttle (3), is generated by energizing the drive coils (3) in the area of the drive magnets (5) of the shuttle (3). To enable a more efficient operation of the linear motor system (1) and to enhance a control of the movement of the at least one shuttle (3) on the stator (2) of the linear motor system (1), at least one drive variable (DV) is determined by a motion control unit (7) from a predefined movement profile (MP) and/or at least one predefined target value (MP) of at least one movement variable for the at least one shuttle (3) and from an actual value (IP) of the at least one movement variable for a respective time step (S101). Furthermore, the motion control unit (7) determines the respective drive coils (4) of the stator (2) to be energized and a corresponding energization (BS) of these drive coils (4) from the at least one drive variable (DV) determined for the respective time step (S103), to move the shuttle (3) corresponding to the predefined movement profile and/or according to the at least one predefined target value (MP) of at least one movement variable. The motion control unit (7) uses an Artificial intelligence method (Al) at least for determining the respective drive coils (4) of the stator (2) to be energized and a corresponding energization (BS) of these drive coils (4) for moving the at least one shuttle (4), wherein the Artificial intelligence method (Al) is provided with the at least one drive variable (DV) determined for the respective time step as an input variable (S102).

The invention relates to a method for operating a converter arrangement (20). The converter arrangement (20) comprises an electronic converter (22) for converting an input voltage from an energy source (18) into an output voltage to be provided to a load (24), at least one active filter cell (40, 42, 44) for reducing harmonic oscillations of the output voltage or of the input voltage, wherein the active filter cell (40, 42, 44) electrically couples an output terminal (28) of the electronic converter (22) with an input terminal of the load (24) or, respectively, wherein the active filter cell (40, 42, 44) electrically couples an input terminal (30) of the electronic converter (22) with an output terminal of the energy source (18), and a bypass arrangement (50, 52, 54) for bypassing a current to or from the electronic converter (22) around the active filter cell (40, 42, 44). The method comprises: receiving at least one sensor signal being representative of a danger for the electronic converter (22) because of an electric problem of the electronic converter (22); sending a protection signal to the electronic converter (22), wherein the protection signal and the electronic converter (22) are configured such that the electronic converter (22) activates protective firing upon receiving the protection signal; and sending a bypass signal to the bypass arrangement (50, 52, 54), wherein the bypass signal and the bypass arrangement (50, 52, 54) are configured such that the bypass arrangement (50, 52, 54) bypasses a current from the load (24) to the electronic converter (22) or, respectively, from the electronic converter (22) to the load (24) around the active filter cell (40, 42, 44) upon receiving the bypass signal.

A computer-implemented method (100) for estimating a level of confidence (4) of a response (3) that an artificial intelligence/machine learning model, Al/ML model (2), delivers in response to a given query (1), comprising the steps of: • obtaining (110) a representation (5) of the query (1) in a working space (6); • determining (120) a closeness (5a) of this representation (5) to one or more reference representations (8) of reference inputs (7) that are known to belong to a domain of validity, DOV (9), of the AI/ML model (2), and/or to this DOV (9) as a whole; • determining (130) the level of confidence (4) based at least in part on this closeness (5a); • and in response to the level of confidence (4) being (160) lower than a predetermined threshold: ∘ obtaining (170) feedback (3a) whether the response (3) provided by the Al/ML model (2) is correct; and ∘ if this feedback (3a) indicates (180) that the response (3) is correct, determining (190) that the representation (5) of the query (3) belongs to the DOV (9), wherein the query (1) relates (105) to at least one property of at least one industrial asset (11) in an industrial plant (10), and/or of an industrial process executed on this industrial plant (10).

The invention relates to a method, collision avoidance device, computer program and computer program product for assisting an operator in collision avoidance for a first vessel (22) traveling in a present passage along a route (OR) in a body of water as well as to such a first vessel (22). The collision avoidance device detects a risk situation for the first vessel (22) involving a possible collision with an object (30), determines a number of parallel collision avoidance schemes (CAS1, CAS2, CAS3, CAS4), presents the collision avoidance schemes (CAS1, CAS2, CAS3, CAS4) to the operator, selects one of the collision avoidance schemes, performs collision avoidance according to the selected collision avoidance scheme and displays the progress of the first vessel (22) according to the selected collision avoidance scheme together with the non-selected collision avoidance schemes.

A computer-implemented method (100) for retrieving a response (3) to a query (1) from a machine learning/artificial intelligence model, ML/Al model (2), the method (100) comprising the steps of:• providing (110) the query (1) to the ML/Al model (2), thereby obtaining an initial response (3);• determining (120), from the initial response (3), instances of concepts (5*) of a given symbolic knowledge representation (4) that the initial response (3) relates to;• marking (130), in the symbolic knowledge representation (4), each concept (5*) that the initial response (3) relates to as instantiated;• determining (140), by a reasoning engine (6), concepts (5#) of the symbolic knowledge representation (4) that, given the set of presently instantiated concepts (5*), need to be instantiated as well;• determining (150) a supplemental query (1*) for information relating at least one concept (5#) that needs to be instantiated as well; and• providing (160) this supplemental query (1*) to the ML/Al model (2), thereby obtaining a supplemental response (3*) that augments the initial response (3).

A gas-duct compartment (1004) for a switchgear cabinet (1000) is described. The gas-duct compartment (1004) includes an enclosure (10041) comprising a sidewall structure (10042) having a length (L) extending along a vertical axis (V-V") of the switchgear cabinet (1000). The sidewall structure (10042) is defined with a first end (FE) and an open second end (SE). A roof panel (10043) being structured to encompass the first end (FE) of the sidewall structure (10042). The enclosure (10041) being defined with one or more vents (10044) in at least one of the sidewall structure (10042), or a space defined in the roof panel (10043). The gas-duct compartment (1004) further includes a filter element (10046) being structured to be disposed at the one or more vents (10044).

The invention is concerned with a method, command adjustment device, computer program and computer program product for compensating imprecise user input in the maneuvering of a vessel as well as a vessel control system and a vessel comprising a command adjusting device. The device detects the environment of the vessel (22), determines at least one distance (d1, d2) to an object (38) in the environment of the vessel (22) as the vessel is operated using at least one control command originating from an operator of the vessel, where each distance is related to a corresponding point (P1, P2) on the vessel (22), analyses the at least one distance, determines, based on the analysis, at least one compensation (SC, VOC) for the at least one control command, and provides the at least one control command compensation for use in the operation of the vessel (22) being performed by the operator.

The computer-implemented method for aggregating outputs of multiple language models involves several steps. It determines calibration information of each of the multiple LMs using at least one calibration question; obtains, from each of the multiple LMs, an original answer based on an original question; obtains, from each of the multiple LMs, an estimation answer based on an estimation question using the determined calibration information, wherein the estimation question asks for a most popular answer to the original question among the multiple LMs; and determines a predicted answer to the original question by aggregating sets of same original answers and same estimation answers.