General features

• Data ingestion - via direct networking, offline transmission of data packages, encrypted channels, raw data storage, or the standard HTTPS API of the cloud services Bosch IoT Gateway Software, Bosch IoT Remote Manager, and Bosch IoT Things

• Data storage - object storage for raw data and MongoDB for processed data

• Data processing - the integrated data processor makes binary data readable with supported industry-wide description standards

• Data visualization - various widgets allow data visualization to customize dashboards and views

• Master data management - offers a visualization of physically existing devices and device data from Bosch IoT Things

• Authentication and authorization - basic authentication, roles, and corresponding permissions to authenticate and authorize users

• Availability - Microsoft Azure

• Read Ticket Management - the load balancing concept of Bosch IoT Insights to increase the stability of your database and prevent peak load scenarios that could potentially block users

The features in detail:

• Data ingestion
  

  • Via direct networking, offline transmission of data packages, encrypted channels, or raw data storage

  • Via the standard HTTPS API of the cloud services Bosch IoT Gateway Software, Bosch IoT Remote Manager, and Bosch IoT Things

  • Via Bosch IoT Things with a linked namespace

  • External interfaces, such as Flea 3 (telematics system)

  • Via web browser

• Data storage
  

  • Object storage for raw data

  • MongoDB for processed data, using a highly secure, cloud-based lambda infrastructure

  • Storage of data types such as time series data, aggregated counters, statistical information, and logging information

  • Storage of device master data such as time series data, aggregated counters, statistical information, and logging information, metadata, image information, and device information

  • Interfaces for third-party data analytics tools, such as Matlab and Excel

• Data processing
  

  • The provided data processor makes binary data readable with the industry-wide description standards, such as ODX, Fibex, A2L, MDF, DBC, and Google Protocol Buffer

  • Ingested data can be unified by bringing together different data sources and unifying their data structures

  • Removal of duplicates to guarantee high data quality with reduced costs

  • Aggregation of different data sources

  • Integration of custom processing scripts (Java, JavaScript, and Python) that can be combined with other processors

• Data visualization
  

  • Customized dashboards and views with various widgets such as bar charts, location maps, tables, etc.

  • Simple NoSQL or MongoDB database query templates

• Master data management
  

  • Creating and maintaining visualizations of physically existing devices

  • Clustering of device data from Bosch IoT Things based on device types

  • Overview of device status and components as well as their relationships

• Authentication and authorization

  • Basic authentication to authenticate users

  • Five different roles with corresponding permissions to authorize users

  • Communication is secured through HTTPS and encrypted through TLS 1.2 and TLS 1.3

• Availability

  • Fully-managed cloud service hosted on Microsoft Azure

  • Subscription via Microsoft Azure

• Read Ticket Management

  • Load balancing concept of Bosch IoT Insights

  • Prevents peak load scenarios that could potentially block users

  • Provides two kinds: UI read tickets and API read tickets

  • Monitoring of read tickets in the Query History Chart to always have an overview of queued query times and queued read tickets

Architecture

The following image illustrates the architecture of Bosch IoT Insights: