Abstract-The procedure of migrating SCADA and DCS functionality of the ISA-95 process automation architecture to a Service based automation architecture is discussed. Challenges in such migration are discussed and defined. From here the necessary migration technology and procedures are proposed. The critical migration technology is based on the mediator concept. The migration procedure is based on a functionality perspective and comprises four steps: initiation, configuration, data processing and control execution. Its argued that these steps are necessary for the successful migration of DCS and SCADA functionality in to the automation cloud.
We survey the mathematical foundations of geometric deep learning, focusing on group equivariant and gauge equivariant neural networks. We develop gauge equivariant convolutional neural networks on arbitrary manifolds M using principal bundles with structure group K and equivariant maps between sections of associated vector bundles. We also discuss group equivariant neural networks for homogeneous spaces M = G/K, which are instead equivariant with respect to the global symmetry G on M. Group equivariant layers can be interpreted as intertwiners between induced representations of G, and we show their relation to gauge equivariant convolutional layers. We analyze several applications of this formalism, including semantic segmentation and object detection networks. We also discuss the case of spherical networks in great detail, corresponding to the case M = S 2 = SO(3)/SO(2). Here we emphasize the use of Fourier analysis involving Wigner matrices, spherical harmonics and Clebsch-Gordan coefficients for G = SO(3), illustrating the power of representation theory for deep learning.
Abstract-Current challenges in production automation requires the involvement of new technologies like IoT, SoS and local automation clouds. The objective of this paper is to address the actual process of defining a cloud based automation system. The objective of this paper is to address one of the challenges involved in establishing and managing a cloud based automation system. Three key capabilities have been identified as required to create the expected benefits of local automation clouds; 1) capturing of plant design 2) capturing and distributing configuration and deployment information 3) coordinating information exchange . This paper addresses the capturing and distribution of configuration and deployment information. For this purpose a SOA service is proposed, the ConfigurationStore, following the principles of the Arrowhead Framework. The service is accompanied by a deployment methodology and a bootstrapping procedure. These are discussed for several types of automation technology, e.g. PLC's, sensors, actuators. A qualitative evaluation of the proposed approach is made for four use cases; Building automation, Manufacturing automation, Process automation and IoT devices. Concluding the usability for large-scale deployment and configuration of Industrial Internet of Things.
Abstract-The emergence and deployment of connected devices in many domains of application (e.g. industrial production, buildings and facilities, urban environment, etc.) have resulted in the need to achieve integration of multiple and more complex systems. This new environment is stressing the intrinsic limits imposed by monolithic standards, data models and integration methods that focus on specific domains of application, types of systems, or specific aspects of a system. This paper describes the Plant Description Service developed as part of the Arrowhead Interoperability framework (EU ECSEL funded project). The manuscript contains a description of the abstract system descriptive model based on which the Plant Description service was implemented, and describes how the service can be used to achieve integration of several industry standards and data models. One use case and one case study is provided that illustrates how the service was practically implemented to support engineering scenarios in the domain of industrial production. The paper concludes with a critical review of the approach and suggestion for future work and developments.
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