公开(公告)号：US20200333770A1

公开(公告)日：2020-10-22

申请号：US16848859

申请日：2020-04-15

Applicant: ABB Schweiz AG

Inventor： Dirk Schulz ,  Thomas Goldschmidt

IPC: G05B19/418

Abstract: A computer-implemented method for interoperable communication between a server and a client, at least one of the server and client being a component of an automation system, the server being associated with a corresponding server data model, and the client being associated with a corresponding client data model, includes: obtaining a reference to the server; analyzing structure and output of the server to derive, based on at least a first technical specification, one or more element types associated with elements of the server data model; generating at least a partial mapping between the server data model and the client data model by applying a transformation rule set to the server data model, the transformation rule set defining for the one or more derived element types how instances of the one or more derived element types are to be transformed from the server data model associated.

公开(公告)号：US20190342764A1

公开(公告)日：2019-11-07

申请号：US15999738

申请日：2016-02-18

Applicant: ABB Schweiz AG

Inventor： Dirk Schulz

IPC: H04W16/20 ,  H04W16/26

Abstract: A method for determining a wireless communication network realization in a plant where a process control system is provided includes receiving a user selection of wireless end point devices 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, which are related to the automation functions and include 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 related to the locations of wireless endpoint devices in the plant for achieving a defined degree of radio coverage sufficient to satisfy the data communication requirements.

公开(公告)号：US20240314126A1

公开(公告)日：2024-09-19

申请号：US18672609

申请日：2024-05-23

Applicant: ABB Schweiz AG

Inventor： Dirk Schulz

IPC: H04L9/40 ,  H04L41/0816

CPC classification number: H04L63/0876 ,  H04L41/0816

Abstract: A network system with a network core unit, a network-managing unit, a device-managing unit, and a network data-infrastructure, and a method for admitting an application device in this network system, are disclosed. The method includes authenticating the application device on network-level, notifying the network-managing unit about an authenticating result, configuring the network data-infrastructure to provide a connectivity between the network-managing unit and the device-managing unit, performing an authenticating action for the application device for authenticating the access device on application-level, notifying the network-managing unit about the authentication result, and configuring the network data-infrastructure to provide an isolated logical network connectivity between the application device and other equally authenticated application devices.

公开(公告)号：US11961386B2

公开(公告)日：2024-04-16

申请号：US17894728

申请日：2022-08-24

Applicant: ABB Schweiz AG

Inventor： Mario Hoernicke ,  Katharina Stark ,  Dirk Schulz

IPC: G08B23/00 ,  G05B19/418 ,  G08B21/18

CPC classification number: G08B23/00 ,  G05B19/418 ,  G08B21/18

Abstract: A computer-implemented method for determining an operational state of an industrial plant includes acquiring alarms raised within the plant and adding them to a pool of important alarms, determining whether a physical state of the plant indicated by a first alarm causes a second alarm or meets a predetermined state-dependent condition and, if so, moving the first alarm to a pool of informative alarms; and determining the operational state of the plant and/or a corrective action for improving this operational state based on the alarms in the pool of important alarms.

公开(公告)号：US11790291B2

公开(公告)日：2023-10-17

申请号：US17398026

申请日：2021-08-10

Applicant: ABB Schweiz AG

Inventor： Dirk Schulz ,  Mario Hoernicke

IPC: G06Q10/0631 ,  G06Q10/20 ,  G06Q50/04

CPC classification number: G06Q10/0631 ,  G06Q10/20 ,  G06Q50/04

Abstract: An automated maintenance schedule generation method includes: receiving planning data for designing a modular plant comprising physical modules as received planning data; selecting digital modules, correlating to respective physical modules, from a database, depending on the received planning data as respective correlating physical modules, the digital modules including maintenance information of the respective correlating physical modules; associating the selected digital modules depending on the received planning data; determining an expected maintenance need including an expected maintenance issue and/or an expected maintenance issue date for the selected physical modules depending on the received maintenance information as a determined maintenance need; and generating a maintenance schedule for the modular plant depending on the determined maintenance need.

公开(公告)号：US11650574B2

公开(公告)日：2023-05-16

申请号：US17559014

申请日：2021-12-22

Applicant: ABB Schweiz AG

Inventor： Dirk Schulz ,  Katharina Stark ,  Mario Hoernicke

IPC: G05B19/4155

CPC classification number: G05B19/4155 ,  G05B2219/31372

Abstract: A method for custom logic engineering in an industrial modular plant executing a production process includes receiving process data for the production process using at least one physical process module; determining a custom process topology by selecting, based on the received process data, at least one module type package, MTP; correlating to the at least one respective physical process module from a database, wherein the module type package is a digital representation of the respective physical process module; selecting at least one extender unit from the database based on the received process data; representing a logical function of the production process; determining connections between the extender unit(s) and the at least one MTP; setting properties of the extender unit(s) based on the received process data; and determining an extended control scheme for controlling dynamic behavior of the production process using the determined custom process topology.

公开(公告)号：US20220415158A1

公开(公告)日：2022-12-29

申请号：US17894728

申请日：2022-08-24

Applicant: ABB Schweiz AG

Inventor： Mario Hoernicke ,  Katharina Stark ,  Dirk Schulz

IPC: G08B23/00 ,  G08B21/18 ,  G05B19/418

Abstract: A computer-implemented method for determining an operational state of an industrial plant includes acquiring alarms raised within the plant and adding them to a pool of important alarms, determining whether a physical state of the plant indicated by a first alarm causes a second alarm or meets a predetermined state-dependent condition and, if so, moving the first alarm to a pool of informative alarms; and determining the operational state of the plant and/or a corrective action for improving this operational state based on the alarms in the pool of important alarms.

公开(公告)号：US20210365852A1

公开(公告)日：2021-11-25

申请号：US17398026

申请日：2021-08-10

Applicant: ABB Schweiz AG

Inventor： Dirk Schulz ,  Mario Hoernicke

IPC: G06Q10/06 ,  G06Q10/00 ,  G06Q50/04

Abstract: An automated maintenance schedule generation method includes: receiving planning data for designing a modular plant comprising physical modules as received planning data; selecting digital modules, correlating to respective physical modules, from a database, depending on the received planning data as respective correlating physical modules, the digital modules including maintenance information of the respective correlating physical modules; associating the selected digital modules depending on the received planning data; determining an expected maintenance need including an expected maintenance issue and/or an expected maintenance issue date for the selected physical modules depending on the received maintenance information as a determined maintenance need; and generating a maintenance schedule for the modular plant depending on the determined maintenance need.

公开(公告)号：US20210350282A1

公开(公告)日：2021-11-11

申请号：US17381240

申请日：2021-07-21

Applicant: ABB SCHWEIZ AG

Inventor： Dirk Schulz

IPC: G06N20/00

Abstract: A computer-implemented method for managing an installed base of multiple artificial intelligence (AI) modules, each AI module transforming input data into output data by an internal processing chain, the input data including data that characterize a state and/or the behavior, of at least one physical plant, apparatus, or system, the behavior of the internal processing chain being determined by a set of configuration parameters trainable based on training input data and corresponding reference data to which the internal processing chain is to map the training input data, the method including: obtaining, from multiple AI modules and/or domains in which the AI modules are applied, pairs of input data and corresponding output data, and/or pairs of training input data and corresponding reference data, and/or configuration parameters, the data and/or parameters relating to same or sufficiently similar operating situations of the AI modules according to a predetermined quantitative similarity criterion.

公开(公告)号：US20210349453A1

公开(公告)日：2021-11-11

申请号：US17382387

申请日：2021-07-22

Applicant: ABB Schweiz AG

Inventor： Jan Christoph Schlake ,  Mario Hoernicke ,  Dirk Schulz

IPC: G05B19/418

Abstract: A method for generating a dynamic model of an industrial plant having: a plurality of physical processes that are dependent such that an outcome of at least one first process is fed into at least one second process; a plurality of low-level controllers, each controller acting upon at least one physical process such that at least one process variable of the at least one physical process is controlled to match a set-point of the low-level controller; and a plurality of sensors, each sensor measuring at least one process variable of one of the physical processes, and/or of the plant as a whole, the set-points of the low-level controllers and current values of the process variables measured by the sensors being the inputs of the model, and predicted future values of the process variables that are likely to result from applying the set-points to the low-level controllers being the outputs.