Manufacturing & industry – Predictive servicing

Predictive maintenance: machine data put to use

Without an environment that keeps machine data available and analysable over time, every prediction model stays a prototype.

Why centron

What predictive maintenance requires technically

Predictive analytics is the method; predictive maintenance is its best-known application in manufacturing.

Time series, not tables

Machine data is time series data: many small values, high write rates, long history. A suitable database on ccloud³ handles write load and analysis at the same time.

Sovereignty over production data

Machine and production data reveal utilisation, processes and capacity. It stays within German jurisdiction, with no transfer to third countries.

GPU only when computing

Training needs GPUs, day-to-day operation does not. GPU and CPU capacity scale separately – you pay for the GPU only during training phases.

Older machines can connect too

Not every plant speaks MQTT. Named contacts with manufacturing experience advise on the path from the controller to the cloud.

From risk analysis to operations

Capture, store, analyse, predict

The path runs through four stages, and most projects fail at the second. Condition monitoring – observing actual values – is the sensible intermediate step: it produces the data basis on which a prediction model can be trained at all. centron supplies the right building block for each stage: ccloud³ for capture, S3 Object Storage for history and Cloud GPU for training.

Made in GermanyCompany · Data centres · Support
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  • Capture – including from older controllers
  • Store – time series with long history
  • Analyse – condition monitoring as the intermediate step
  • Predict – train models on GPUs
Recommended modules

The right centron products

Clinics and medical institutions typically implement IT security with these modules – combinable and extensible at any time.

ccloud³
From
3,12 € / month
Hourly billing
  • For time series databases
  • Scale as needed
  • German data centres
S3 Object Storage
From
5,00 € / month
History without limits
  • 0,02 € per GB
  • Outbound traffic free
  • Grows without pre-booking
Cloud GPU
From
92,59 € / month
Training only
  • NVIDIA GPUs
  • Scales separately from CPU
  • Hourly billing available
In brief

What infrastructure does predictive maintenance require?

Predictive maintenance needs an environment that ingests machine data continuously, stores it permanently and keeps it analysable. The core building blocks are ccloud³ Virtual Machines from 3,12 € per month for the time series database, complemented by S3 Object Storage for history and Cloud GPU from 92,59 € per month for model training. The infrastructure runs in our own German data centres, certified to ISO 27001 based on IT-Grundschutz (BSI certificate BSI-IGZ-0773) and with an unqualified BSI C5:2020 Type 1 attestation. New accounts receive €200 in starting credit.

Modules and prices
ModulePrice
ccloud³from 3,12 € / month
S3 Object Storagefrom 5,00 € / month
Cloud GPUfrom 92,59 € / month
Industries & sectors FAQ

Frequently asked questions

Why a time series database rather than a classic one?

Machine data arrives as time series: very many small measurements with timestamps, written continuously and retained for years. Relational databases cope with the write rate but slow down when analysing long periods. Time series databases are built for exactly that – and they run on ccloud³ like any other database.

Can older machines be connected?

Usually yes, but rarely directly. Older controllers do not speak modern protocols; the common approach is a gateway on the shop floor that reads values and transmits them to the cloud in batches. Which route suits your machine park depends on controllers and network – we clarify that before the project.

Does production data stay in Germany?

Yes. Customer data is processed exclusively in German data centres, with no transfer to third countries. The deployment location for cloud workloads is our own data centre in Hallstadt near Bamberg. With machine data that is more than a formality: it allows conclusions about utilisation, processes and capacity.
Further reading

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