The present disclosure relates to a portable production machine, a mobile terminal, a production system having a portable production machine and a mobile terminal, and a method for capturing data. According to aspects of the disclosure, on the production machine - which can be, for example, a welding machine or cutting machine - production data is automatically captured, organized into data sets, and converted into data set images, which are displayed on a display device. The displayed data set images are captured with a mobile terminal and transmitted to a central server. As a result, a plurality of production machines can be incorporated into a data system without the need for any changes to the hardware in the production machines.

A server system can operate to function as an automatic association of tags defining a system within a process. The operations include accessing tags and associated signals including a plurality of data values over time indicative of a physical property, behavior or measurement of a component of the process. For each signal, calculating a time-weighted average over a specific time period, selecting a specific number of different day periods sampled from the tags and signals, and for each tag, calculating a slope and intercept by calculating a linear regression of plurality of signals over the specific time period. Further, calculating a residual value of each data value of the signals over the specific time period, and calculating a normalized value of each residual value, and then calculating the absolute value of the dot product of the normalized residual value and the residual value of a subsequent number of tags.

A data collection setting device of an industrial machine includes: a display unit that displays augmented reality; an industrial machine identifying unit that identifies the industrial machine in the real world displayed on the display unit; a data display control unit that displays, on the display unit, a virtual object relating to the data which are collectable in the identified industrial machine; a data collecting device display control unit that displays, on the display unit, an object indicating the data collecting device; an operation determining unit that determines operation of an operator with respect to the virtual object relating to the data and the object indicating the data collecting device displayed on the display unit, and identifies the data and the data collecting device; and a data collection setting generating unit that generates a setting for collecting the identified data of the industrial machine (10) in the identified data collecting device.

An assistance method for execution of a format change in an automatic machine can include dividing the format change into an orderly succession of operations for the removal of components designed for the old format and installation of components designed for the new format; communicating the orderly succession of removal and installation operations to an operator; electronically and automatically detecting the actual presence or absence of a component designed for the old or new format before communicating to the operator the operation for removal or installation of the component; electronically and automatically detecting the actual absence or presence of a component designed for the old or new format after having communicated to the operator; and communicating to the operator the operation following an operation for the removal or installation of a component only after having electronically and automatically checked for the actual absence or presence of the component.

A trace assistance device includes a memory section, an acquisition section, and an output section. The memory section stores a manipulation log and an operation log. When a predetermined trigger event occurs during the board work, the acquisition section acquires at least one target manipulation history related to the trigger event, a target operation history associated with the target manipulation history, a comparison manipulation history that is the same as or similar to the target manipulation history, and a comparison operation history associated with the comparison manipulation history from the manipulation log and the operation log stored in the memory device. The output section is configured to output an operation of the board production line recorded in the target operation history and an operation of the board production line recorded in the comparison operation history, which are acquired by the acquisition section, in a comparable manner.

This disclosure provides an apparatus and method for interactive batch operations system enabling operation excellence and competency transition. The method includes collecting data related to a batch process from different departments within a batch processing facility into a common data repository; transforming the collected data based on provided intelligence; exploiting the transformed data in the common data repository; determining a best possible alternative for continued operation of the batch process based on the exploited data; providing a visualization of the best possible alternative of the batch process using a digital twin; and operating the batch process using the determined best possible alternative on a physical twin corresponding to the digital twin.

Provided herein are systems, methods, and software for preserving timestamp data in an industrial automation environment. In one implementation, one or more computer-readable storage media having program instructions stored thereon to preserve timestamp data in an industrial automation environment, wherein the program instructions, when executed by a computing system, direct the computing system to at least receive, at a controller, event data of an event from an electronic device, wherein the event data comprises a status of the event and the timestamp of the event. The program instructions also direct the computing system to determine an identification value based on the event data and load the status of the event, the timestamp of the event, and the identification value to a queue within the controller. The timestamp of the event includes the timestamp transmitted from the electronic device.

Transport of physical objects is controlled based on scanning of encoded images. In one approach, an encoded image on a physical object is scanned to obtain parameters. The parameters include specifications for a product to be made by a manufacturing process. One or more rules are generated using the parameters and then stored in a database. The database is queried to determine whether the product conforms to the one or more rules. For example, the query may include data regarding characteristics of the final product and/or the manufacturing process. In response to determining that the product conforms to the rules, the product is transported to a distribution facility.

Provided herein are systems, methods, and software for preserving timestamp data in an industrial automation environment. In one implementation, one or more computer-readable storage media having program instructions stored thereon to preserve timestamp data in an industrial automation environment, wherein the program instructions, when executed by a computing system, direct the computing system to at least receive, at a controller, event data of an event from an electronic device, wherein the event data comprises a status of the event and the timestamp of the event. The program instructions also direct the computing system to determine an identification value based on the event data and load the status of the event, the timestamp of the event, and the identification value to a queue within the controller. The timestamp of the event includes the timestamp transmitted from the electronic device.

Systems, methods, and computer program products for remaining useful life prediction. Operational data is collected from a test machine until a component fails, and a training dataset generated from the operational data. The training dataset is used to define and validate a prediction model. Operational data received from one or more field machines is provided to the prediction model. The prediction model then predicts the remaining useful life of the component of the field machine. To reduce the time-to-failure of the component in the test machine, the component may be repeatedly subjected to an accelerated wear cycle. The prediction model may be defined by extracting features from the training dataset. Like features may be extracted from the field dataset and provided to the prediction model as part of the prediction process. The operational data received from the field machines may be used to generate an updated prediction model.