Abstract:
A method (100) for managing an installed base of multiple artificial intelligence, AI, modules (2a-2d) comprising: • obtaining (110), from multiple AI modules (2a-2d) and/or application domains (la- Id), pairs of input data (21) and corresponding output data (22), and/or pairs of training input data (21a) and corresponding reference data (23a), and/or configuration parameters (22a) relating to same or sufficiently similar operating situations according to a predetermined quantitative similarity criterion (3); and • aggregating (120) the data (21, 23; 2 la, 23a), to form augmented training data (4) for training AI modules (2a-2d); and/or • aggregating (130) the configuration parameters (22a), to form augmented configuration parameters (5) for configuring the internal processing chain (22) of AI modules (2a-2d); and/or • determining (140), based at least in part on the data (21, 23), a quantitative indicator (6a-6d) for AI module (2a-2d) performance according to a predetermined quality criterion (6).
Abstract:
A method for determining a wireless communication network realization in a plant where a process control system is provided comprises receiving a user selection of wireless end point devices (30, 32) and locations of these in the plant, each being provided as at least one of a pair of endpoint devices that are to communicate with each other in relation to an automation function of the process control system, obtaining data communication requirements of the wireless endpoint devices (30, 32), which are related to the automation functions and comprise at least one signal sent between a pair of endpoint devices and a time within which it has to reach its destination, and determining a number of wireless relay devices (22, 23) related to the locations of wireless endpoint devices (30, 32) in the plant for achieving a defined degree of radio coverage sufficient to satisfy the data communication requirements. Network planning is carried out so that wireless devices are placed and configured according to the tolerated transmission delay and radio coverage requirements
Abstract:
The invention relates to a self-powered wireless sensor and actuator system (100), SP- WSAN, comprising an SP-WSAN gateway (110) and an SP-WSAN device (140). The SP- WSAN gateway (110) is configured to communicate with an SP-WSAN device (140) and the SP-WSAN device (140) is configured for sensing and/or actuating and for communicating with the SP-WSAN gateway (110) wherein the SP-WSAN device (140) is further configured to be powered by energy received over air from a cellular radio device (130) for sensing and/or actuating and for communicating with the SP-WSAN gateway (110).
Abstract:
A computer-implemented broker entity (7) for conveying state information from a technical system (1) as a producer to a requesting device (2) as a consumer, wherein the state information comprises a plurality of values that have been measured and/or generated by components of the technical system, each value is associated with a given semantic meaning, and the broker entity is configured to: • receive, from the requesting device (2), a request (3) for one or more target values (6) of state information that have sought target semantic meanings (6a); • obtain, from the technical system (1), one or more source values (4) of state information that are associated with given source semantic meanings (4a); • obtain, at least in part from a transformation library (5), one or more transformations (5a-5c), wherein each transformation (5a-5c) maps one or more first values that are associated with first semantic meanings to one or more second values that are associated with second semantic meanings; • apply the one or more transformations (5a-5c), or a new transformation (5*) obtained based on the one or more transformations (5a-5c), to the source values (4) of state information, thereby obtaining the one or more target values (6) of state information; and • transmit the one or more target values (6) to the requesting device (2).
Abstract:
A computer-implemented method (100) for determining an operational state of an industrial plant (1) executing an industrial process, the method (100) comprising: • adding alarms (2) raised within the plant (1) to a first pool (3a) of important alarms (2); • determining (120), based on plant (1) topology, on the process, and/or on a physical state (1c) of parts of the plant (1), whether a physical state (1c) indicated by a first acquired alarm (2) has caused a second alarm (21), and if so, moving (130) the first alarm (2) from the first pool (3a) to a second pool (3b) of informative alarms (2); and/or • determining (140), based on the topology of the plant (1), and/or on the process, in combination with a physical state (1c) of parts of the plant (1), for at least one first acquired alarm (2), whether a predetermined state-dependent condition (5) is met, and if this is the case, moving (150) the first alarm (2) from the first pool (3a) to the second pool (3b); and • determining (160) the operational state (la) of the plant (1), and/ or a corrective action (lb) based on the alarms (2) in the first pool (3a).
Abstract:
The present invention is concerned with an automated maintenance schedule generation method, comprising the steps: receiving (S1) planning data for designing a modular plant comprising physical modules (20); selecting (S2) digital modules (40), correlating to the respective physical modules (20), from a database (30), depending on the received planning data (Dp), wherein the digital modules (40) comprise maintenance information (I) of the respective correlating physical modules (20); associating (S3) the selected digital modules (40) depending on the received planning data (Dp); determining (S4) an expected maintenance need (N) comprising an expected maintenance issue and/or an expected maintenance issue date for the selected physical (20) modules depending on the received maintenance information (I); and generating (S5) a maintenance schedule (S) for the modular plant depending on the determined maintenance need (N).
Abstract:
The present invention relates to a method of commissioning a field device in an industrial system network, the method comprising: connecting a field device to an industrial system network; providing, information about the field device, the information comprising functional information for the field device; utilizing the functional information for the field device to retrieve information relating to a role of the field device in an automation application; utilizing capability information relating to the field device type and the information relating to the role of the field device in the automation application to retrieve a parameter set for the field device for operation in the automation application; and downloading the parameter set to the field device.
Abstract:
A method for locating a possible root cause of system discrepancy in a process control system uses a system model comprising software representations of process control endpoint devices interconnected via a communication network using a number of links, where each link is provided for communication in relation to a process control function between two endpoint devices and comprises a set of communication network elements and a reference to a set of communication parameters of the process control function. In the method an indication that at least one communication parameter deviates from a communication requirement is obtained (50), a link where reference is made to the communication parameter identified (52), communication network elements contributing to the functioning of the link identified (54) and at least one of the communication network elements indicated as a possible cause of the deviation.
Abstract:
A sensor (4) for monitoring the quality of a pourable and/or pumpable product (1-3), comprising: - measuring means (5) configured to physically interact with at least one physical property of the product (1-3) and to output a response (5a) that is dependent on this physical property, and/or on the history of this physical property; and - transmitting means (6) configured to convey said response (5a) to an entity who is monitoring the quality of the product (1-3), wherein the sensor (4) is pourable and/or pumpable together with the product (1-3) and - has a specific weight sufficiently similar to the specific weight of the product (1-3) such that the sensor (4) is able to float within the product (1-3); and/or - comprises means (8, 8a, 8b) for adjusting its specific weight. A method (100) for monitoring the quality of a pourable and/or pumpable product by means of a plurality of sensors (4, 4').
Abstract:
The present invention is concerned with an intent-based automation engineering method for automation of a production process, comprising the steps: receiving an intent model (I), correlating to process intent, comprising production process functions, constraints on measurable properties on the production process functions and/or production process function sequences required for the production process; receiving a process model (P), correlating to process knowledge comprising a production process behaviour; determining a machine-readable production model (M) linking the received intent model (I) to the received process model (P); and determining a control strategy (S) for controlling the production process dependent on the provided production model (M).