In addition to real-time monitoring, many industrial IoT applications also require the evaluation and comparison of historical measured values. Current sensor data can be time-stamped via logiccloud and stored and retrieved in a time series database over defined periods of time.

In addition to real-time monitoring, many industrial IoT applications also require the evaluation and comparison of historical measured values. Current sensor data can be time-stamped via logiccloud and stored and retrieved in a time series database over defined periods of time. With the connection of InfluxDB, logiccloud users now have access to a particularly powerful, fast and lean database.

The influxDB database can be very compact even with several million data records. Compared to conventional relational databases, InfluxDB offers clear speed advantages and can also maintain high write speeds over a long period of time. The system automatically adapts to the workload, which is particularly important for industrial IoT applications and machine learning, where the amount of data can change at short notice.

With the integration of the InfluxDB interface in logiccloud, sensor data or pre-processed measured values can be written directly to an InfluxDB. This expands the possible uses of logiccloud and at the same time reduces the complexity of automation solutions.

• Calculation and evaluation of KPIs
• Active energy and climate management
• Storage of sustainability data

The interface is available in all logiccloud products.

InfluxDB can be used locally on an edge device or as a cloud-based SaaS solution via the AWS, GCP or Azure cloud environment. Configuration takes place in the logiccloud portal. Extensive configuration options and different recording modes are available for this purpose.

This update is also based on feedback from the growing logiccloud community. The bigger it gets, the faster we can drive development forward. So: just give it a try! We look forward to your non-binding registration.