SnapToPowerQuality · Project

Clip-On Sensors That Detect Power Quality Problems Before They Stop Your Production Line

manufacturingMarket-readyTRL 8

Imagine your factory suddenly stops because the electricity feeding your machines had a hidden glitch — a voltage dip or harmonic distortion you never saw coming. Finding the source usually means hiring expensive specialists who have to physically cut into your cables. This team built sensors you literally clamp onto the outside of existing cables — no rewiring, no downtime to install. The sensors use AI to decode the messy signals picked up from outside the cable into precise power quality data, at less than a tenth of what traditional equipment costs.

By the numbers

<10%

Cost compared to known alternatives

90%

Saving potential originates from industrial production facilities

€13.6 billion

Estimated European market potential

Pilot site deployments completed

Types of manufacturing equipment with software adapters

Management systems with software adapters

Consortium partners across 3 countries

The business problem

What needed solving

Power quality failures in production facilities cause unexpected stoppages, product defects, and wasted energy — but finding the source of the problem is expensive and disruptive. Traditional monitoring requires costly equipment installed by cutting into electrical cables, which means production downtime just to diagnose the issue. Most factories simply absorb the losses because the cure seems worse than the disease.

The solution

What was built

A complete clamp-on power quality monitoring system: patented sensors that clip onto existing cables without any rewiring, an edge computing platform for real-time analysis, a cloud analytics platform with self-learning AI, software adapters for 5+ equipment types and 4+ management systems, open integration APIs, and mass-production-ready hardware — all validated across 3 industrial pilot sites.

Audience

Who needs this

Factory operations managers losing production to unexplained power quality issuesPlant maintenance directors spending heavily on traditional power monitoring equipmentEnergy managers at manufacturing facilities tracking power waste and disturbancesIndustrial facility managers responsible for equipment uptime and product qualityProduction engineers at continuous-process plants where brief power dips cause batch losses

Business applications

Who can put this to work

Automotive manufacturing

mid-size

Target: Car parts manufacturers with CNC machining and welding lines

If you are an automotive parts manufacturer dealing with unexplained production stoppages or quality defects from power disturbances — this project developed clamp-on sensors and a cloud analytics platform that monitor power quality from outside your existing cables without any installation downtime. The system costs less than 10% of traditional power quality monitoring equipment and was pilot-tested at 3 industrial sites across Europe.

Food & beverage processing

enterprise

Target: Food processing plants with continuous production lines

If you are a food processor where even brief power fluctuations can ruin temperature-sensitive batches or shut down packaging lines — this project built a self-learning AI analytics platform that detects power quality failures before they cause losses. It integrates with at least 5 types of manufacturing equipment and 4 management systems, so it plugs into your existing operations.

Semiconductor & electronics manufacturing

enterprise

Target: Electronics manufacturers with precision equipment sensitive to power disturbances

If you are an electronics manufacturer where micro-voltage variations cause chip defects or calibration drift — this project delivered mass-production-ready hardware sensors with edge computing that analyze power quality in real time. The system was deployed and validated at 3 pilot sites and includes open data integration APIs for connecting to your existing industrial operation systems.

Frequently asked

Quick answers

How much does this system cost compared to traditional power quality monitoring?

The project objective explicitly states the solution costs less than 10% of known alternatives. The clamp-on installation eliminates the need for electricians to break into cables, which further reduces installation costs and avoids production downtime during setup.

Can this work at industrial scale across a full production facility?

Yes. The project delivered mass-production-ready hardware (D6.4), an edge computing platform (D5.3), and a cloud analytics platform (D6.9). It was deployed and validated at 3 separate pilot sites. Software adapters were built for at least 5 types of manufacturing equipment and 4 management systems.

What is the IP situation — can I license this technology?

The solution is patented and builds on top of the existing patented ReMoni platform already used in commercial buildings. The coordinator is TU Eindhoven, and the commercial partner ReMoni (Denmark) appears to hold the product rights. Contact them through their website for licensing or purchase.

How does it integrate with our existing factory systems?

The project specifically built software adapters for at least 4 management systems and at least 5 types of manufacturing equipment. It includes open data integration APIs (D4.1) and ReMoni cloud integration APIs (D5.2), so it connects to your existing industrial operation infrastructure.

How long does installation take?

The clamp-on sensors are designed to click onto existing cables without breaking into the installations — no rewiring required. Based on available project data, this means installation does not require production downtime, unlike traditional power quality monitoring that needs cable disconnection.

Is the AI analysis proven or still experimental?

The self-learning AI analysis was tested across 3 pilot deployments and refined based on user feedback. The final analytics platform (D6.9) and final user interfaces (D6.7) were both upgraded after real user feedback, indicating a mature, validated system rather than a lab prototype.

What regulations or standards does this comply with?

Based on available project data, specific compliance certifications are not detailed in the deliverable list. However, the mass-production-ready hardware deliverable (D6.4) and cloud platform technical documentation (D6.8.1) suggest the team prepared the system for commercial deployment standards. Contact the consortium for specific certifications.

Consortium

Who built it

The consortium of 5 partners across 3 countries (Netherlands, Denmark, Bulgaria) is heavily industry-driven at 80% industry ratio — exactly what you want to see for a product heading to market. TU Eindhoven provides the mathematical modeling expertise, while the remaining 4 partners are industry players including 2 SMEs. ReMoni (Denmark) is the commercial vehicle with an existing sensor platform already deployed in commercial buildings, meaning this isn't a startup building from scratch but an established company extending proven technology into a new market segment.

TECHNISCHE UNIVERSITEIT EINDHOVENCoordinator · NL
REMONI A/Sparticipant · DK
INTERCONSULT BULGARIA OODparticipant · BG

How to reach the team

TU Eindhoven coordinated, but ReMoni (Denmark) is the commercial partner — check remoni.com for product and sales inquiries

Order a report on this consortium See TECHNISCHE UNIVERSITEIT EINDHOVEN profile →

Next steps

Talk to the team behind this work.

Want an introduction to the SnapToPowerQuality team? SciTransfer can connect you with the right person for your specific use case — whether you need a pilot evaluation or commercial deployment.

Order a report on this topic More in Manufacturing & Industry 4.0