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From idea to operation
Vendor-neutral IIoT consulting from requirements and feasibility to architecture, device selection, proof of concept, integration with business systems and documented handover.
Many IoT projects stall not because of technology but because of vague requirements, rushed hardware choices or no plan for what comes after the pilot. Sensors get installed, a dashboard is built, yet the data never connects to a real business process.
As an independent IIoT consultant, I work alongside your team so the project is defined properly from the start: which problem is being solved, whether it is technically and economically feasible, which architecture and devices fit, and how the data reaches existing systems such as ERP, maintenance and workflow tools. I am vendor-neutral, and my aim is a system you can maintain without depending on me.
The goal is "digitalization", but it is unclear which decision or process the data is supposed to improve.
Sensors are chosen from datasheets alone, ignoring real battery life, environmental conditions and the manufacturer's product roadmap.
Proofs of concept run without success criteria or an extensible architecture, leaving no clear next step.
The IoT platform runs separately from ERP, maintenance and workflow systems, so data is copied across by hand.
Documentation is missing and every small change depends on the original contractor.
A workshop with stakeholders to define the problem, the data consumers, success metrics and project scope.
Assessment of connectivity, power supply, installation conditions, total cost of ownership and risks before anything is purchased.
Design of the sensor, connectivity, edge, platform and integration layers with standard interfaces such as MQTT and REST.
Comparing sensors and gateways by battery life, IP rating, radio range and manufacturer roadmap, not by datasheet alone.
A small-scale pilot with acceptance criteria agreed in advance and an honest report on what worked and what did not.
Connecting events and data to Odoo, maintenance systems or n8n, and handing over architecture, configuration and operating documentation.
Each phase has a defined deliverable, after which you decide whether to continue, adjust or stop. This structure prevents investing in an idea before it has been tested.
| Phase | Key question | Deliverable |
|---|---|---|
| Requirements | Which problem, and for whom? | Requirements document and success criteria |
| Feasibility | Is it technically and economically viable? | Risk report and total cost estimate |
| Architecture | How do the components fit together? | Architecture diagram and technology list |
| Pilot | Does it work under real conditions? | Pilot report and scale-out decision |
| Rollout and handover | Can the internal team run it? | Documentation, training and formal handover |
The layered architecture principles I apply are explained in the article IoT system architecture.
A sensor that looks perfect on paper may fail early in a damp pit or next to a vibrating motor. When selecting devices I weigh these factors together:
IoT data creates value once it reaches a process. Some common patterns:
Integration also raises questions of ownership and security: who may write data into the ERP, how credentials are stored, and what happens when one system is unavailable. I document these interfaces explicitly, including error handling and retries, because they are typically the first thing to break after a software update.
For organizations at the beginning of this journey, the article digital transformation in traditional industries is a good starting point.
No. My role is consulting, design and implementation support, and I recommend devices based on project needs, independent of brand. You buy from the supplier of your choice.
Both. I can support only the definition and architecture, or work alongside your team or the installation contractor on platform configuration, integration and testing.
With an initial call followed by a requirements workshop. The result is a short document covering the problem, a proposed architecture, risks and a pilot proposal.
Usually through APIs or a workflow tool such as n8n; for example, an alarm in the IoT platform automatically creates a maintenance request in Odoo. The details depend on your existing systems.
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A layered reference model for industrial IoT systems, from sensors to ERP integration, plus the non-functional requirements and deployment choices that decide whether a system still works years later.
Why digital transformation in mining, manufacturing and utilities often stalls, and how a staged approach from assessment and pilot to scaling and operations reduces that risk.
Describe your situation — existing equipment, sites and goals. You will receive an honest first assessment of sensible next steps.