A method and an apparatus for operating an automation system is provided. The method for operating an automation system includes the method steps of: providing a learning-based prediction model for the automation system trained by process data including context of an automation process, receiving information about current context of the automation process, verifying context change by comparing the current context to the context of said process data, in the case of any context change verifying a concept drift by comparing pre-drift process data and post-drift process data, in the case of any concept drift re-training said model with post-drift process data, in the case of no context change testing for random concept drift not detected by verifying context change, in the case of any random concept drift extend the current context by using data comprising previous context changes, otherwise no further method steps are required.

A system for detecting and evaluating environmental quantities and events is formed by a detection and evaluation device and a mobile phone, connected through a wireless connection. The device is enclosed in a containment casing housing a support carrying a plurality of inertial sensors and environmental sensors. A processing unit is coupled to the inertial sensors and to the environmental sensors. A wireless connection unit, is coupled to the processing unit and a wired connection port, is coupled to the processing unit. A programming connector is coupled to the processing unit and is configured to couple to an external programming unit to receive programming instructions of the processing unit. A storage structure is coupled to the processing unit and a power-supply unit supplied power in the detection and evaluation device. The mobile phone stores an application, which enables a basicuse mode, an expert use mode, and an advanced use mode.

Described herein are methods and systems for visualization of a carbon footprint for one or more real-world objects or events. A server computing device identifies a carbon footprint value for at least one real-world object or event. The server computing device determines an amount of greenhouse gas that corresponds to the carbon footprint value. The server computing device generates instructions for operation of a gas visualization device coupled to the server computing device based upon the amount of greenhouse gas. The server computing device transmits the instructions to the gas visualization device. The gas visualization device executes the instructions to produce an amount of gas (i.e., fog or vapor) based upon the received instructions.

A process and a system collect data from a data-source into a manufacturing operation management (MOM) data warehouse. The data in the MOM data-warehouse are exposed according to a basic data model in which a performance parameter is linked to a basic set of context identifiers for MOM analysis purposes. The data in the data source are exposed according to a source data model in which a source performance parameter is linked to a source set of context identifiers. A data extensor module is provided for processing the data received from the data source to add, upon need, a context identifier linked to the source performance parameter. Whereby the added context identifier is present in the basic set but it is not present in the source set. The data extensor module processing data is received from the data source to obtain augmented data stored in the MOM data warehouse.

A method and an apparatus for operating an automation system is provided. The method for operating an automation system includes the method steps of: providing a learning-based prediction model for the automation system trained by process data including context of an automation process, receiving information about current context of the automation process, verifying context change by comparing the current context to the context of said process data, in the case of any context change verifying a concept drift by comparing pre-drift process data and post-drift process data, in the case of any concept drift re-training said model with post-drift process data, in the case of no context change testing for random concept drift not detected by verifying context change, in the case of any random concept drift extend the current context by using data comprising previous context changes, otherwise no further method steps are required.

The present invention is in the field of computer-implemented methods for determining the carbon footprint of a product in a production process in a production plant, in particular of a product in interconnected production processes. Certain embodiments of the present invention relate to a computer-implemented method for determining the carbon footprint of a product produced in production process of a production plant.

The present invention is in the field of computer-implemented methods for determining the carbon footprint of a product in a production process in a production plant, in particular of a product in interconnected production processes. Certain embodiments of the present invention relate to a computer-implemented method for determining the carbon footprint of a product produced in production process of a production plant.

Disclosed are an environment management system and environment management method based on a geofence. The environment management system based on a geofence according to an embodiment may comprise: a control server for setting the range of a region including a management area as a geofence, and analyzing the environment conditions of the management area on the basis of information about the environment in the set geofence region; one or more management apparatuses which are disposed in the management area, and manage the environment of the management area on the basis of the analysis of the control server, and a device for bidirectionally communicating with the control server, and receiving the selected management information.

The present invention is in the field of computer-implemented methods for determining the carbon footprint of a product in a production process in a production plant, in particular of a product in interconnected production processes. Certain embodiments of the present invention relate to a computer-implemented method for determining the carbon footprint of a product produced in production process of a production plant.

The present invention is in the field of computer-implemented methods for determining the carbon footprint of a product in a production process in a production plant, in particular of a product in interconnected production processes. Certain embodiments of the present invention relate to a computer-implemented method for determining the carbon footprint of a product produced in production process of a production plant.