SWMS IoT

SWMS IoT

Centrally capture and visualise data from heterogeneous systems

Many industrial plants and measurement points speak different "languages": MODBUS, OPC‑UA, MQTT, REST or proprietary formats. Data sits in silos, analyses are cumbersome and proprietary systems block access to raw data. SWMS IoT creates an open data hub: via a central MQTT broker you connect machines, sensors and software, store all data in a high-performance time-series database and visualise it flexibly in Grafana or Jupyter. Full access – no vendor lock-in.

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Problemraum

Problem Space: Why Industrial Data Integration So Often Fails

In many companies the reality looks like this:

  • Incompatible interfaces: Many machines and sensors use proprietary protocols (MODBUS, OPC‑UA, REST API), making central data aggregation impossible.
  • Vendor lock-in & closed systems: Proprietary platforms restrict access to raw data; customisations are expensive and time-consuming.
  • Manual data collection: Excel sheets, CSV exports and local storage islands lead to inconsistencies and lack of transparency.
  • Missing real-time information: Operations and maintenance teams react late to anomalies because central dashboards and alerts are absent.
  • High integration effort: Every new plant requires individual integration, extending project timelines.

The result:

  • Untapped potential such as predictive maintenance, energy optimisation or process monitoring remains unused.

Unser Ansatz

The Solution: SWMS IoT – the Universal Data Hub for Your Plants

SWMS IoT combines heterogeneous protocols, open source components and flexible deployment options in one system. At the core is an MQTT broker that collects data from MODBUS devices, OPC‑UA servers, REST APIs and other formats. This data is stored in a scalable time-series database and can be visualised in Grafana dashboards or analysed via Jupyter.

You retain full control over your data at all times – on-premises or in the cloud.

Features

Funktionen im Überblick

Wählen Sie ein Thema rechts aus – links sehen Sie die Details.

Feature 1

Universal Interfaces

Supports MODBUS, OPC‑UA, MQTT, REST – additional formats can be integrated at any time.

  • Central collection via an MQTT broker
  • Easy connection of legacy devices via gateways

Result: Connect all your assets and sensors in one system – without lengthy integration projects.

Target Group

Who is SWMS IoT for?

  • Mechanical engineering companies
  • Environmental measurement and wind assessments
  • Technical and laboratory operations
  • Maintenance and service teams
  • Plant monitoring in process and chemical engineering

Companies that:

  • Need to integrate data from different protocols
  • Prefer open, extensible architectures
  • Want to retain full data sovereignty

Use Cases

Typical Use Cases

  • Automated import of customer orders (ORDERS)
  • Order confirmations and delivery notifications (ORDERRES, DESADV)
  • Automatic invoice creation (INVOICE)
  • Connection of marketplaces such as Amazon Business
  • Transformation between different ERP formats

FAQ

Why Not a Proprietary IoT Platform?

SWMS IoT relies on open, standardised components.

The advantages:

  • Open access to all data
  • No vendor lock-in
  • Freely selectable hardware and operating systems (Docker, Kubernetes, Linux, Windows)
  • Scalable from embedded devices to server farms
  • Integration of data science tools such as Jupyter

Proprietary platforms, by contrast, lock you in.

Kostenloser Download

Get the Whitepaper & Reference Architecture for Free

IoT Data Integration in Industry – Guide from Interface to Dashboard

Included:

  • Decision guide: which protocols & interfaces make sense when
  • Typical mistakes during introduction and operation
  • Examples from mechanical engineering, environmental technology and laboratory operations
  • Checklists for pilot projects and scaling
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Does SWMS IoT Fit Your Use Case?

Briefly describe the protocols, data points and goals of your project – we will get back to you promptly with an assessment and share our references.

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