The IoT platform „sphinx open online“ from Constance-based In-GmbH can be used both to digitalise production in the Internet of Things (IoT) and to monitor systems at the end customer. The modular platform, which the software company from Lake Constance will be showcasing at SPS 2019, is based on open standards. It enables process optimisation in factories, for example. This is achieved by connecting, linking and role-specific processing of live data.
With „sphinx open online“, data from different trades is brought together and processed along the process chain. Digital images of plants, systems and processes can be networked bidirectionally. Data can also be exchanged with software systems in the Cloud is available as an option.
Modular platform based on open standards
Sphinx open online is, according to the In-GmbH a modular platform based on open standards that enables process optimisation - for example in factories - by connecting, linking and role-specific processing of live data. It coordinates all tasks such as data connection, evaluation, monitoring and forecasting in one model and enables decisions to be made based on this, including autonomous interventions. The IoT platform offers a wide range of options. It can be used both in the area of Industry 4.0 for the digitalisation of production and for monitoring systems at the end customer. This enables end-to-end information flows, condition monitoring, visualisation, calculation of KPIs, worker support, notifications and reports through to analyses and interventions with a single platform.
„Our platform enables integration from the system to the operator and the business process. Machine learning and expert knowledge are optimally combined.“
Siegfried Wagner, Managing Director of in-integrierte informationssysteme GmbH
Flexibly connect systems during operation
With sphinx open online, systems can be connected during operation in a user-centred, agile and flexible way, User interfaces freely and rules can be changed. Functionalities such as data fusion, data historisation, data analysis and forecasts enable closed control loops across system boundaries and therefore autonomous solutions.
In addition, self-learning services and optimisation of the systems can be offered on the basis of the data obtained. The possibilities even extend to usage-based billing. The Edge component is installed in a distributed manner on a system at the edge of the network and is used for local processing of the system data, while all systems are monitored by the manufacturer in the cloud.
In-GmbH at the SPS 2019: Hall 5, Stand 438
