01
Mount the sensor
Attach the wireless sensor to the equipment using its magnetic base.
Lumen Hug 2.0
Monitor machine temperature and vibration. Use machine learning to flag unusual readings and plan maintenance.
Completely wireless
Temperature and vibration sensing
Detects unusual readings
Magnetic base for quick setup
Manufacturers that use Lumetras
Collect equipment readings
Connect equipment sensors and review readings for changes. Lumen ML models support predictive maintenance analysis.
1. Data collection
Connect available PLC, SCADA, sensor, and equipment data sources. Supported connections depend on the source and configuration.
2. Data review
Organize incoming readings for analysis. Connected systems determine which data is available and how quickly it arrives.
3. Machine learning analysis
Lumen Hug uses wireless temperature and vibration sensors to flag unusual readings for maintenance review.
Equipment and site monitoring
Review readings from connected equipment in shared views. The connected systems determine which readings and workflows are available.
- Review equipment data across connected sites
- Track maintenance actions
- Compare current and historical readings
- Custom alert routing via SMS, Email, or Webhook
Machine learning
Analysis tools
Predictive Maintenance
Machine learning reviews sensor data for patterns that may indicate a change in equipment condition. Maintenance teams review alerts and decide what action to take. The goal is to help reduce downtime, not guarantee it.
Anomaly Detection
Configured analysis can flag unusual patterns in connected production, energy, or quality data for review.
Yield & OEE Forecasting
Forecasts estimate yield or equipment performance from configured data. Review estimates before making production or maintenance decisions.
Natural Language Query
Use natural-language queries to ask about connected factory data. Review generated summaries before using them to make decisions.
Visual quality inspection
Vision systems inspect product images for review. Evaluate each site and have people check detections. The system does not guarantee defect detection or lower costs.
Cross-Site Benchmarking
Compare connected site data to help teams investigate differences between production lines.
Four layers for connected operations.
IoT Sensors & Edge
Connected sensors and edge devices can collect measures such as equipment state, energy, temperature, and pressure.
IOT
Industrial Data Platform
A data layer can organize connected plant information and link it with available ERP data.
DATA
Light MES Layer
Depending on configuration, the MES layer can support production orders, downtime records, shift reports, and quality checks.
MES
Machine learning analysis
Machine learning tools can support anomaly review, predictive maintenance, yield forecasting, and natural-language queries.
AI
Lumen Hug 2.0 · On-machine sensing
Monitor temperature and vibration.
Lumen Hug 2.0 sends machine readings to the Lumetras maintenance platform. The wireless sensor uses a magnetic base for mounting.
Magnetic mountingTemperature sensingVibration sensing
Talk to our teamHow it works
Use readings to plan inspections.
Compare sensor readings with normal machine conditions. Review flagged changes with your maintenance team before scheduling work.
02
Record normal readings
Collect temperature and vibration readings while the machine runs. Use these readings to establish a baseline.
03
Investigate unusual readings
Review readings that differ from the baseline. Check machine conditions before deciding on maintenance.
We check alert channels and maintenance-system connections for each site.
LUMEN HUG 2.0
Frequently asked questions
I already use a handheld analyzer. What is different?
A handheld records readings during a technician visit. Lumen Hug measures every 10 minutes. It captures a full waveform when a limit is crossed. Use the handheld to inspect machines that Lumen Hug flags.
What faults can it predict on a motor?
It monitors signs of bearing wear, rotor imbalance, shaft misalignment, mechanical looseness, lubrication loss, and overheating. It can also flag signs of gear mesh wear and pump cavitation. Inspect flagged equipment to confirm the fault.
How is pricing structured?
Pricing is $35 to $49.99 USD per sensor per month, based on volume. This includes the sensor, gateway, dashboard, AI models, and alerts. You can start with a pilot on selected lines.
Will the data integrate into my existing reports?
Yes. The Lumetras OEE dashboard shows machine health alongside production and downtime. Other connection options include an API, scheduled exports, or MQTT. We review your reporting, SCADA, or maintenance system before setup. Sage X3 integration can be planned as a later phase.
How much advance warning will I get?
Warnings may arrive days or weeks before failure. Timing depends on the fault and available readings. The initial baseline takes about two weeks. Repair records help refine the remaining-life estimate. No warning period is guaranteed.
If the network goes offline, is data stored?
Yes. Each sensor stores 1,000 readings. This is about one week at the standard 10-minute interval. The gateway also buffers data. Stored readings sync when the connection returns. Recovery depends on available storage.
What else can it be used for?
Rotating equipment such as pumps, fans, compressors, gearboxes, and conveyors. We review the asset and mounting position before setup.
Have another question?
Maintenance planning: use equipment readings to plan work and spare parts.
Ask our team for a demo using your machines.
Reliability reports: review repeated faults and compare readings before and after repairs.