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MatrixAILORAWAN

Solution

Condition Monitoring

Rotating equipment rarely fails without warning — vibration, temperature and noise change weeks before a breakdown. MatrixAI deploys wireless condition-monitoring sensors on critical assets and turns their trends into maintenance decisions.

What problem do we solve?
Unplanned downtime of pumps, motors, fans and chillers
How do we solve it?
Criticality → Baseline → Trend → Act
What technologies do we use?
LoRaWAN, Edge processing, MQTT, REST API
What can we integrate?
CMMS / CAFM, BMS, Asset registers, Reliability dashboards

The problem

From reactive maintenance to condition-based maintenance

  • Unplanned downtime of pumps, motors, fans and chillers
  • Time-based PPM that services healthy equipment and misses failing equipment
  • Handheld vibration surveys that are infrequent and labour-intensive
  • No early warning before bearing, alignment or imbalance failures

Our approach

How we solve it

  1. 1

    Criticality

    Rank assets by consequence of failure and select the right sensing per asset.

  2. 2

    Baseline

    Install sensors, capture healthy operating signatures and set thresholds.

  3. 3

    Trend

    Track vibration, temperature and electrical parameters over time.

  4. 4

    Act

    Raise condition-based work orders before failure, not after.

Architecture

How the system fits together

  1. 01

    Asset

    Pump · Motor · Fan · AHU

  2. 02

    Condition Sensor

    Vibration · Temp · Noise

  3. 03

    LoRaWAN

    Gateway & server

  4. 04

    Analytics

    Trends · Thresholds

  5. 05

    Maintenance Action

    CMMS work order

Condition data flows from critical assets to maintenance decisions.

Capabilities

What condition monitoring covers

Condition data

  • Vibration (RMS, peak, velocity)
  • 3-axis acceleration
  • Gyroscope / orientation
  • Surface temperature
  • Noise level
  • Pressure
  • Electrical parameters (current, power)
  • Visual inspection & leak detection where applicable

Typical assets

  • Pumps
  • Motors
  • Fans
  • Air handling units (AHUs)
  • Chillers
  • Compressors
  • Cooling towers
  • General rotating machinery

Technologies we use

  • LoRaWAN
  • Edge processing
  • MQTT
  • REST API

What we integrate with

  • CMMS / CAFM
  • BMS
  • Asset registers
  • Reliability dashboards

Outcomes

  • Earlier detection of developing faults
  • Maintenance based on condition, not calendar
  • Fewer emergency call-outs
  • Longer asset life

Industries

Where this is used

Other solutions

FAQ

Condition Monitoring — questions

Can wireless vibration sensors replace a full vibration analysis programme?

They complement it. Wireless sensors provide continuous trending and early warning on many assets at low cost; detailed spectrum analysis is still used for diagnosis of complex faults.

How long do battery-powered condition sensors last?

Battery life depends on reporting interval and the amount of data sent. We size the reporting strategy with you during design so that battery life fits the maintenance cycle.

Planning a condition monitoring project?

Tell us about your site, assets and existing systems. A LoRaWAN specialist will review your requirements and propose a practical architecture — no obligation.