Method for parameterising at least one device

Patent metadata

Field	Value
Publication number	US-12481276-B2
Application number	US-202217948414-A
Country	US
Kind code	B2
Filing date	Sep 20, 2022
Priority date	Sep 22, 2021
Publication date	Nov 25, 2025
Grant date	Nov 25, 2025

Abstract

In a method for parameterising at least one device ( 30 ), at least one environmental value ( 31 ) of the device is determined via at least one sensor and/or an automation component. It is checked whether parameters are allocated to the at least one environmental value in a parameter database ( 32 ). If parameters are allocated to the at least one environmental value ( 31 ) in the parameter database ( 32 ), the device ( 30 ) is parameterised with parameters from the parameter database ( 32 ). If no parameters are allocated to the at least one environmental value ( 31 ) in the parameter database ( 32 ), the device ( 30 ) is parameterised with new parameters. The new parameters are then allocated ( 54 ) to the at least one environmental value ( 31 ) in the parameter database ( 32 ).

First claim

The invention claimed is:

1 . A method for parameterising at least one device, comprising the following steps:
determining at least one environmental value of the at least one device by means of at least one sensor or an automation component, which supplies multiple pieces of secondary data, checking whether parameters are allocated to the at least one environmental value in the parameter database, parameterising of the at least one device with parameters from the parameter database, if parameters are allocated to the at least one environmental value in the parameter database, parameterising of the at least one device with new parameters, if no parameters are allocated to the at least one environmental value in the parameter database, wherein new parameters are then allocated to the at least one environmental value in the parameter database, and the new parameters are stored in the parameter database, wherein in an initialisation step of the method, the at least one device and at least one sensor or the automation component are each identified via digital identification data, which can be read from a network, and the at least one device is then automatically allocated with a parameter database provided for this type of device, and wherein several parameter databases are to be provided, depending on what environmental values can be collected by the at least one sensor or automation component and a parameter database is chosen for the installed combination of device and sensor or automation component, in which the parameters provided for this device are associated with environmental values that can actually be measured by the at least one available sensor or the automation component.

2 . The method according to claim 1 , wherein the at least one environment value is selected from a group consisting of temperature, humidity, pressure, flow rate, chemical composition of a gas, brightness, vibration, incline and electromagnetic field strength.

3 . The method according to claim 1 , wherein several of the at least one environmental values are determined, and it is checked whether parameters are allocated to a combination of all environmental values in the parameter database.

4 . The method according to claim 1 , wherein at least one mathematical function is stored in the parameter database, in which function environmental values are used as arguments and parameters are used as function values, wherein the function has degrees of freedom.

5 . The method according to claim 4 , wherein, when allocating the parameters, dependencies between environmental values are analysed via Principal Component Analysis, and the parameters are applied to as few environmental values as are determined via the at least one sensor or the at least one automation component.

6 . The method according to claim 1 , wherein the parameter database is set up as a one-dimensional look-up table in which parameters are allocated to an environmental value, or is set up as a multi-dimensional look-up table, in which parameters are allocated to a combination of environmental values.

7 . The method according to claim 1 , wherein the allocation of parameters takes place via a learning model, which is implemented by a neural network and in which all environmental values are used as variables of an input layer and the parameters arise from an output layer.

8 . The method according to claim 1 , wherein a digital image of the at least one device is created and that the parameterisation of the at least one device with new parameters is carried out, in which process the new parameters are chosen in such a way that an actual state of the at least one device is aligned with a target state of the at least one device, as stored in the digital image.

9 . The method according to claim 1 , wherein the parameter database is filled with parameters during the operation of the at least one device and is then made available to another at least one device.

10 . The method according to claim 1 , including a computer program, configured to perform each step of the method.

11 . The method according to claim 1 , including a non-transitory machine-readable storage medium, on which the computer program is saved.

Assignees

• Balluff Gmbh

Inventors

• Hiller-Brod Andrea
• Dorneich Albert
• Schaefer Roland
• Langer Stephan
• Mahr Heiko
• Streib Jochen
• Maier Joerg

Classifications

• G06F18/2135

  based on approximation criteria, e.g. principal component analysis · CPC title

• G05B2219/23227

  Environment conditions affect execution of program · CPC title

• G05B2219/23236

  Table lookup driven system · CPC title

• G06V10/82

  using neural networks · CPC title

• G05B19/0426

  Programming the control sequence · CPC title