A system, device, and method for managing connections in an industrial installation are described. The system includes one or more field devices, one or more automation devices, and a self-configurable device. The self-configurable device is adapted 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. The self-configurable device is adapted to calibrate one or more field devices and manage automation functions in the industrial installation.

A method for semi-automated development data management for control devices includes saving a development data model in a central data store comprising a plurality of mutually related configuration data units, wherein the configuration data units each store control commands and/or configuration parameters. The method further includes providing a ruleset and identifying an initial configuration data unit, wherein it is possible, using the ruleset, to identify further configuration data units automatically on a basis of a relationship thereof with the initial configuration data unit. In addition, the method includes applying the provided ruleset to the development data model in order to identify a subset of configuration data units within the development data model and saving the identified subset.

An asset class type of a new asset is predicted or determined based upon an evaluation of time series data from the new asset. A predicted asset type is used to identify sensors of the new asset to use for data collection. Using the readings of selected sensors from the new asset, states of the new asset are obtained. The duration at least one of these states of the new asset is determined. This information can be subsequently used to optimize the performance of the new asset.

A method for semi-automated development data management for control devices includes saving a development data model in a central data store comprising a plurality of mutually related configuration data units, wherein the configuration data units each store control commands and/or configuration parameters. The method further includes providing a ruleset and identifying an initial configuration data unit, wherein it is possible, using the ruleset, to identify further configuration data units automatically on a basis of a relationship thereof with the initial configuration data unit. In addition, the method includes applying the provided ruleset to the development data model in order to identify a subset of configuration data units within the development data model and saving the identified subset.

An asset class type of a new asset is predicted or determined based upon an evaluation of time series data from the new asset. A predicted asset type is used to identify sensors of the new asset to use for data collection. Using the readings of selected sensors from the new asset, states of the new asset are obtained. The duration at least one of these states of the new asset is determined. This information can be subsequently used to optimize the performance of the new asset.