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The term Industrie 4.0 carries the vision of smart factories, which automatically adapt to changes and assist the human as much as possible during operation and maintenance. This includes smart human machine interfaces, which reduce the chances of errors and help to make the right decisions. This paper presents an approach to equip the maintenance software running on a tablet PC with augmented reality functionality to be able to place virtual sticky notes at production modules. Additionally, these sticky notes are enriched with position information. The central element of this approach is an ontology-based context-aware framework, which aggregates and processes data from different sources. As a result, a tablet PC application was implemented, which allows displaying maintenance information as well as live plant process data in the form of augmented reality. More than 100 of those sticky notes can be placed using this system, whereas each note requires a file size of 12 to 16 kilo bytes. After placing a sticky note, the system recognizes it even if the camera's position is not exactly the same as during the placing process

The exhaustive digitalization of the economy, and to be more specific, of industrial production systems results in a new quality of information transparency. This is the basis for added values in terms of effectiveness, quality, and individuality. However, these added values also result in an increased exposure to Cyber-Security threats, due to the increased digitalization, information transparency and standardization. In this work, the procedural model for a Cyber-Security analysis based on reference architecture model Industry 4.0 (RAMI 4.0) and the VDI/VDE guideline 2182 is exemplary shown for the use case of a Cloud-based monitoring of the production. The derived procedure supports the identification of protection demands and allows a risk-based selection of suitable countermeasures

Objects to change within a manufacturing enterprise can be products, technological or logistical processes, parts of the manufacturing facilities or a company's organization. For this paper we assume, that IT systems are also objects to change – they have to be adapted to changes to products and facilities on the shop floor. Today the adaption of IT systems is managed and done manually – therefore the authors propose an automated way of changing the production's IT-systems. For this purpose two main ideas are described: reading and interpreting a self-description of production equipment and enrichment of these descriptions with data from the “digital factory” bridging the gap between planning and operating IT-systems and thus enabling higher adaptivity of manufacturing systems.

This paper presents a novel model-based approach for the prediction of energy consumption in production plants in order to detect anomalies. A special Ethernet-based data acquisition approach is implemented that features real-time sampling of process and energy data. Hybrid timed automaton models of the supervised production plant are generated and executed in parallel to the system by using data samples as model input. According to comparisons of predicted energy consumption with the production plant observations, anomalies can be detected automatically. An evaluation within a small factory shows that anomalies of 10%differences in energy consumption, wrong control sequences and wrong timings can be detected with a minimum accuracy of 98 %. With this approach, downtimes of production systems can be shortened and atypical energy consumptions can be detected and adjusted to optimal operation

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This paper presents an FPGA based Ethernet cut-through switch that is optimized for one-step PTP clock synchronization and fast forwarding of real-time Ethernet frames. Whereas a standard switch ASIC provides sophisticated mechanisms for switching of non-real-time frames, an attached FPGA implements cut-through switching of real-time frames and synchronization events. Moreover, time-stamping of synchronization events, one-step bridge delay compensation, peer-delay responses for power profile and a servo clock are implemented in hardware. The results show that even a low-cost Xilinx Spartan 6 FPGA comprising 47,000 Look-up tables can fulfill the requirements for switching 6 Ethernet ports at 100 Mbps. The combination of cut-through forwarding and transparent one-step clock synchronization yields to bridge delays less than 3 microseconds for both real-time Ethernet data and synchronization events. Therefore, the presented switch can be flexibly integrated into time-synchronized real-time networks in order to provide improved switching functions

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