In this section you will find all currently published services that can be used. This section will be updated regularly as we continuously enrich our ecosystem.
Usage Transparency Service offers a UI giving insight on your resource consumption on the MindSphere platform. For Developers it as offers an API to track a metric defined by the developers. This metric can also be retrieved via an API of UTS.
File Service to read, write and delete files: upload, update and delete files associated to assets; store metadata information, and search for files by metadata.
Use Time Series to create, read, update and delete dynamic data. Since time series data are always related to an asset, the instance of an asset must have been created by you beforehand.
Use Time SeriesAggregates Service to read aggregated time series values. Retrieve the following aggregated values per interval: Count, Sum, Average, Minimum, Maximum, First Value, Last Value.
Represent physical assets from your site in MindSphere. Use models and create instances, set relations to others and create structures such as hierarchies.
The Data Exchange Service provides remote file storage and management support through simple REST API calls. The service offers support for uploading, downloading, renaming, and publishing within the same tenant files or folders.
The Event Analytics Service provides the essential functionality for a data-driven analysis of event data. It enables the user to get a better grasp of what is happening inside the system through statistical analysis.
The KPI Calculation Service computes Key Performance Indicators (KPIs) for an asset. It uses data source such as sensors, control events and calendar entries.
The Model Management Service provides analytical model management file storage with versioning support. The service provides help in maintaining version, dependency, parameters and authorship information.
The Signal Calculation Service processes sensor time series data of an entity. The service aggregates, modifies, smoothes and transforms the original sensor data for further analysis or storage along with the original data.
The Trend Prediction Service predicts future values for time series using linear and non-linear regression models. It is a forecasting framework, that has many useful applications in the area of Process & Condition Monitoring.