Research • Development • Innovation

Base Functions in SmartVortex

Federated Data Stream Management Systems

Data Stream Management Systems (DSMS) are systems that execute continuous queries in real time on data streams to either identify deviations from a expected behavior, to observe threshold violations, to calculate trends or to establish new derived data streams out of raw data streams generated from different sources. This helps the user to read sensor data immediately without annoying calculations. Such a system is able to visualize the stream results, to generate alerts and to start new processes as reaction.


Visual Query Editor

The specification of new continuous queries is supported by a visual query editor, which allows also users without any programming experience to define new queries or to apply and combine preexisting query functions to selected sensor streams.


FEM Model Live Visualization

Data streams resulting from FEM simulations can be visualized in a 3D viewing environment that shows the actual state of the simulation job. In a movie screen mode the evolution in previous simulation cycles can be inspected. The 3D viewer provides the pan, scroll, rotate and zoom modi for inspection. In the case of collaboration activities the corresponding viewing windows are synchronized in real-time to ensure that every user has the same viewing perspective and ratio. The viewer can also be synchronized with related CAD models to show also the same part in indifferent design representations and provide the same viewing experience.


Expert search

To solve complex problems that are recognized in any sensor monitoring process it is sometimes necessary to include experts for specific problems in a collaboration session. The expert data base holds all necessary information about the skills, previous projects and special fields of expertise in a social graph kind of data model. With the expert search those colleagues, which can contribute to the solution finding, can be identified. This is combined with IPR protection mechanism to ensure that only experts, which are obligated to have insight in the running project can be selected.


Collaboration with IPR Protection

Once experts are selected they can be added to a collaboration session. Within this session data stream visualization, documents or meta data can be shared. Which documents or document elements are allowed to be shared depends on the IPR protection model. This can range from full access down to single objects within the documents or only specific parts of an assembly. The collaboration task can be extended with video transmission and chat functions to include real-life recordings in the discussion.


Team Problem Solving and Decision Room

Beside ad-hoc direct synchonous collaboration an asynchronous team problem solving process can be initiated.

This process offers the following functionality:

  • Problem Definition
  • Expert Search
  • Brainstorming
  • Solution Rating
  • Decision Documentation

The process is guided and allows to embed all visualization and sharing functions of the standard collaboration process. This includes IPR protection as well as video communication.


Benefits of DSMS

Data Stream Management Systems (DSMS) give various advantages against conventional recording based data validations:

The validation of real-time data with continuous queries give an exact image about the actual situation of a process or a sensor measurement

DSMS can produce real-time alerts to prevent malfunctions of a system and initiate actions or workflows that help to prevent larger damages on a system.

DSMS technology allows to calculate trends and predict therefore required service or maintenance activities. This helps to apply business models which require preventive maintenance practices like to guaranty a certain avaiability of the system.

DSMS helps users to identify especially effects that only can be recognized in combination of multiple sensor signals. The user gets readable information immediately with their appearance.

DSMS supports the recording of critical data streams for a specified time to enable validation of the source of one effect and its history.

DSMS reduces dramatically the need for data recording and the annoying search in large log files or large data sets which only can be determined with so called "Big Data" technologies.

Stream validation can work on every kind of data streams regardless if the format isnumerical or alphanumerical. Even semantic validation is possible.

Federation or cascading technologies offer unlimited scalability to the systems. The volume of data does not influence the performance of the systems or their real-time behavior.