Granted Patent B2

US 12,189,372 · App. 17/478,038 · Granted Jan 7, 2025

Inventors: Sudhakar Govindarajulu (Tamilnadu, IN); Nikhil Vishwas Kulkarni (Karnataka, IN); Vijeth Krishna P N (Kerala, IN); Gurumurthy Surapasetty (Karnataka, IN)

Assignee: Siemens Aktiengesellschaft

G05B19/41845G05B19/4185G05B19/41885G05B2219/23431G05B2219/23456G05B2219/25011G05B2219/25066G05B2219/25428

Abstract

Claims (66)

1. An automation system comprising:

one or more field devices;

one or more automation devices; and

a self-configurable device configured to dynamically configure based on type of the one or more field devices and the one or more automation devices such that the self-configurable device manages a connection between the one or more field devices and the one or more automation devices,

wherein the self-configurable device comprises a calibration module, wherein the calibration module is configured to:

obtain a baseline state-space representation of the automation system, wherein the baseline state-space representation comprises a model of a set of at least one input variable, at least one output variable, and at least one state variable of the automation system corresponding to an optimum functioning of the automation system;

determine a real-time state-space representation of the automation system, wherein the real-time state-space representation comprises a model of a set of at least one input variable, at least one output variable, and at least one state variable corresponding to a real-time functioning of the automation system;

compare the baseline state-space representation with the real-time state-space representation to identify a deviation;

modify the baseline state-space representation based on the real-time state-space representation when the deviation is identified; and

configure the self-configurable device to dynamically establish an active communication channel between the one or more field devices and the one or more automation devices.

2. The automation system of claim 1 , wherein the self-configurable device comprises:

at least one first port configured to connect the one or more field devices;

at least one second port configured to connect the one or more automation devices;

a processing unit; and

a memory coupled to the processing unit.

3. The automation system of claim 2 , wherein the memory of the self-configurable device comprises a self-configuration module, wherein the self-configuration module is configured to:

identify the one or more field devices installed in an industrial installation;

identify the one or more automation devices installed in the industrial installation; and

establish a connection between the one or more field devices and the one or more automation devices in the industrial installation.

4. The automation system of claim 3 , wherein the self-configuration module is configured to:

determine a network configuration associated with the industrial installation;

identify at least one attribute associable with the one or more field devices;

identify at least one attribute associable with the one or more automation devices; and

determine an association between the one or more field devices and the one or more automation devices based on the at least one attribute associable with the one or more field devices, the at least one attribute associable with the one or more automation devices, and the network configuration associated with the industrial installation.

5. The automation system of claim 4 , wherein the self-configuration module is further configured to:

receive a set of configuration settings based on the identified one or more field devices and the one or more automation devices from a server, wherein the set of configuration settings comprises one or more parameters for configuring the self-configurable device; and

configure the self-configurable device using the set of configuration settings.

6. The automation system of claim 5 , wherein the memory of the self-configurable device further comprises a calibration module configured to automatically calibrate the automation system.

7. A method of managing a connection between one or more field devices and one or more automation devices in an industrial automation, the method comprising:

identifying the one or more field devices;

identifying the one or more automation devices;

establishing a connection between the one or more field devices and the one or more automation devices in the industrial installation; and

automatically calibrating an automation system,

wherein automatically calibrating the automation system comprises:

obtaining a baseline state-space representation of the automation system, wherein the baseline state-space representation comprises a model of a set of at least one input variable, at least one output variable, and at least one state variable of the automation system corresponding to an optimum functioning of the automation system;

determining a real-time state-space representation of the automation system, wherein the real-time state-space representation comprises a model of a set of at least one input variable, at least one output variable, and at least one state variable corresponding to a real-time functioning of the automation system;

identifying a deviation, identifying the deviation comprising comparing the baseline state-space representation with the real-time state-space representation;

modifying the baseline state-space representation based on the real-time state-space representation when the deviation is identified; and

configuring the self-configurable device, such that an active communication channel between the one or more field devices and the one or more automation devices is dynamically established.

8. The method of claim 7 , wherein establishing the connection between the one or more field devices and the one or more automation devices comprises:

determining a network configuration associated with the industrial installation;

identifying at least one attribute associable with the one or more field devices;

identifying at least one attribute associable with the one or more automation devices; and

determining an association between the one or more field devices and the one or more automation devices based on the at least one attribute associable with the one or more field devices, the at least one attribute associable with the one or more automation devices, and the network configuration associated with the industrial installation.

9. The method of claim 8 , further comprising:

receiving a set of configuration settings based on the identified one or more field devices and the one or more automation devices from a server, wherein the set of configuration settings comprises one or more parameters for configuring a self-configurable device; and

configuring the self-configurable device using the set of configuration settings.

10. In a non-transitory computer-readable storage medium that stores machine readable instructions executable by a processing unit to manage a connection between one or more field devices and one or more automation devices in an industrial installation, the machine readable instructions comprising:

identifying the one or more field devices;

identifying the one or more automation devices;

establishing a connection between the one or more field devices and the one or more automation devices in the industrial installation; and

automatically calibrating an automation system,

wherein automatically calibrating the automation system includes:

obtaining a baseline state-space representation of the automation system, wherein the baseline state-space representation comprises a model of a set of at least one input variable, at least one output variable, and at least one state variable of the automation system corresponding to an optimum functioning of the automation system;

determining a real-time state-space representation of the automation system, wherein the real-time state-space representation comprises a model of a set of at least one input variable, at least one output variable, and at least one state variable corresponding to a real-time functioning of the automation system;

identifying a deviation, identifying the deviation comprising comparing the baseline state-space representation with the real-time state-space representation;

modifying the baseline state-space representation based on the real-time state-space representation when the deviation is identified; and

configure the self-configurable device to dynamically establish an active communication channel between the one or more field devices with the one or more automation devices.

11. The non-transitory computer-readable storage medium of claim 10 , wherein establishing the connection between the one or more field devices and the one or more automation devices comprises:

determining a network configuration associated with the industrial installation;

identifying at least one attribute associable with the one or more field devices;

identifying at least one attribute associable with the one or more automation devices; and

determining an association between the one or more field devices and the one or more automation devices based on the at least one attribute associable with the one or more field devices, the at least one attribute associable with the one or more automation devices, and the network configuration associated with the industrial installation.

12. The non-transitory computer-readable storage medium of claim 10 , wherein the machine readable instructions further comprise:

receiving a set of configuration settings based on the identified one or more field devices and the one or more automation devices from a server, wherein the set of configuration settings comprises one or more parameters for configuring a self-configurable device; and

configuring the self-configurable device using the set of configuration settings.

Assignments (2)

Priority Claims (1)

Continuity (2)

References Cited (29)