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02 / SELECTED WORK

Complex challenges. Engineered solutions.

Selected engineering work, presented through the problems addressed and the solutions developed.

OUR WORK

The challenge. The solution.

No glossy project galleries. Just the engineering challenge, our approach and the technical outcome.

01
In-house development

Complex control logic across connected devices

Smart Switching & Embedded Control

Designing connected switching devices with custom firmware, dependable state handling, structured communication and maintainability in mind.

MCUFirmwareWi-FiMQTTOTA
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The challenge

A single switch is straightforward. At multi-device scale, unique device identity, consistent communication, predictable switching states and firmware maintenance become the real engineering challenge.

Our solution

Microcontroller firmware and control logic were adapted around structured device parameters, local MQTT connectivity, defined relay states and an architecture for future firmware updates.

The outcome

An adaptable embedded foundation that makes connected switching solutions easier to configure, test and integrate into broader control systems.

02
In-house development

From individual sensors to connected systems

IoT Monitoring & Sensor Systems

Connecting sensors, microcontrollers and data transport into a coherent architecture for technical monitoring.

ESP32SensorsMQTTTelemetryMonitoring
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The challenge

A measurement is useful only when data acquisition is reliable, transmission is structured and changing conditions can be understood across devices.

Our solution

Connected sensor-node concepts and prototypes were developed using ESP32-based components, local communication and structured telemetry for monitoring interfaces.

The outcome

A modular prototype foundation in which acquisition, communication and analysis are treated as one engineering system.

03
Technical application example

Turning complex technical data into clear decisions

Technical Data & Test Analytics

An engineering application concept for structured analysis of extensive measurement and test records.

PythonAnalyticsQualityDashboards
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The challenge

Large datasets offer little value if recurring failure patterns, anomalies and gradual measurement drift remain hidden in unstructured raw records.

Our solution

The concept combines consistent record identification, focused filters, failure-pattern analysis, trend charts and condensed performance indicators in one coherent workflow.

The outcome

A clearly defined analysis concept showing how technical results can be interpreted and emerging anomalies surfaced. Not an approved client reference.

04
In-house development

Making complex operations manageable

Custom Operations Software

Purpose-built software for workflows where permissions, status, assets and traceability must work together reliably.

Web AppsPHPPythonWorkflowReports
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The challenge

Complex workflows often break down around unclear ownership, duplicate entries and missing traceability. Off-the-shelf software rarely fits every operational exception.

Our solution

Development of tailored web and desktop tools with role-based views, structured records, status tracking, barcode workflows and focused reporting/export functions.

The outcome

Practical software building blocks that make demanding workflows easier to record, manage and analyse—without exposing internal organisations or user data.

05
In-house development

When small deviations make a significant difference

Precision Verification & Reliability Engineering

A systematic engineering approach to assessing difficult-to-distinguish technical conditions consistently and transparently.

VerificationReliabilityEngineeringQuality
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The challenge

Critical conditions are not always obvious. Small differences and varying circumstances can make an apparently simple check unreliable.

Our solution

The problem was broken down into verifiable questions. Relevant influencing factors were translated into a structured method for condition assessment and plausibility checks.

The outcome

A traceable technical verification strategy based on defined criteria rather than assumptions.

06
In-house development

Making critical patterns visible in complex datasets

Industrial Data Analytics & Trend Detection

Independently developed software for structured analysis of large technical measurement datasets, trend detection and investigation of deviations.

Data AnalyticsTrend DetectionQualityReporting
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The challenge

Large datasets may conceal recurring anomalies and gradual changes. Manual examination makes it difficult to spot patterns across extended periods.

Our solution

Software was developed with focused filters, comparative analysis, trend views over time and structured reports. This supports targeted investigation of changing behaviour.

The outcome

A working analytics tool that organises technical data and supports trend investigations, without making unverified savings or predictive accuracy claims.

Selected engineering work and technical application examples, presented without client identifiers or confidential information.

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