According to Gartner Research, there are over 26 billion IoT devices in 2020. These are in complex contexts, are connected with actors - and generate a gigantic flood of measurement data: in a twelve-hour flight about 850 terabytes of data are collected. This is a digital world that wants to be analyzed, controlled and optimized.
Public authorities as well as private companies are often faced with more complex tasks: in Smart City Management, for example, information and processes are to be depicted with reference to space and time: Where is the most important congestion at a particular time of the day? How has air quality changed in the last 20 years? Such complex digital worlds can only be sensibly sensed and controlled if all the contexts can be represented in a single, flexible data model with space and time reference.
Big Data - but with brains.
Smart City Management is on everyone's lips: All business operations in a city, from waste disposal to public safety, to construction site coordination, should be managed as efficiently and effectively as possible. The challenge is exactly the same for all cities: they are completely different areas of action - but everything is linked in the same space-time context.
The smart answer is a repository based on a single data model and pre-built solution patterns, which map all major business cases in the various areas of action. Supported by a flexible measurement data module, each object is linked to the relevant sensor data.
Smart is when the right hand knows what the left does.
Prediction is very difficult, especially if it's about the future (Nils Bohr). This is especially true in Smart City Management: It is impossible to predict which future applications are necessary and how they should be integrated with existing applications. For this reason, the basis of a truly smart management solution must be a platform that can cover future needs without long-term adaptations and without coding.
The platform must be so open and flexible that all future business cases can be depicted and made available to users quickly via Web services. Because no new development is necessary with reusable patterns, savings of up to 80% are possible compared to a conventional approach.