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Synergy Automatics · Industrial IoT

Predictive Maintenance of Mining Equipment

Use condition, electrical and operating data to identify deterioration before fixed and mobile mining equipment fails.

Real-time visibilityEdge data continuitySystem integration

Earlier identification of developing faultsUse condition, electrical and operating data to identify deterioration before fixed and mobile mining equipment fails.

Maintenance planned around conditionConnected data supports faster, evidence-based operational decisions.

Reduced catastrophic failure and secondary damageConnected data supports faster, evidence-based operational decisions.
Application overview

What this connected-mine application does

Use condition, electrical and operating data to identify deterioration before fixed and mobile mining equipment fails.

The practical objective is not simply to collect more data. It is to establish a trustworthy measurement chain, detect abnormal conditions, preserve the relevant operating context and route information to the team that can act on it.

Typical points monitored

  • Vibration and spectral indicators
  • Bearing, winding and lubricant temperature
  • Motor current, voltage and power signature
  • Hydraulic pressure, temperature and contamination
  • Operating load, cycles and hours
  • Fault codes and maintenance history
Primary field devices Vibration and temperature sensors; Power-quality or motor-monitoring device; Oil or hydraulic condition sensor; Machine PLC/CAN interface; Edge analytics gateway and historian
Data update pattern Event-driven alarms with periodic telemetry. Critical events should be timestamped and transmitted immediately where the communications design permits.
Connectivity options Industrial Ethernet, fibre, Wi-Fi, leaky-feeder, LoRaWAN or private LTE/5G as site conditions permit.
Alarm and analytics Create advisory, maintenance and critical condition alerts using validated trends, limits and rate-of-change rules.
Common integration Common interfaces include dry contacts, 4–20 mA, Modbus RTU/TCP, OPC UA, EtherNet/IP, CAN/J1939, MQTT, SNMP or REST APIs where supported by the source equipment.
Data continuity Timestamp at the edge, monitor signal quality and device health, and use store-and-forward buffering so short network outages do not create silent data gaps.
Environmental design Use mine-suitable enclosures, protected cabling and glands, appropriate ingress/impact resistance, and certified equipment wherever the hazardous-area classification requires it.

How it works

A five-layer implementation pattern

Measure

Approved sensors and machine interfaces capture the required physical or operating state.

Control locally

Existing PLCs, protection and safety systems retain their required local authority.

Acquire at edge

A rugged gateway timestamps, buffers, normalises and validates incoming data.

Transmit securely

Mine communications carry telemetry and alarms with health and quality monitoring.

Visualise and integrate

Dashboards, historians and APIs support response, maintenance and reporting.

Typical deployment locations

Where the solution can be applied

  • Continuous miner or longwall equipment
  • Crusher and conveyor drive
  • Pump and fan station
  • Mobile fleet and workshop
Operational value

Potential benefits

  • Earlier identification of developing faults
  • Maintenance planned around condition
  • Reduced catastrophic failure and secondary damage
  • Better spares and labour planning
  • Asset-health and remaining-life indicators

Engineering considerations

Design details that determine success

  • Start with known failure modes and actionable measurements
  • Validate models against inspection and work-order outcomes
  • Avoid replacing protection relays with analytics
  • Maintain sensor mounting quality and baseline data
Safety and control boundary

Keep protection local and approved.

Create advisory, maintenance and critical condition alerts using validated trends, limits and rate-of-change rules. Dashboard alerts, remote notifications and analytics should complement—not replace—certified protection, local interlocks, emergency procedures, statutory inspections and competent decision-making.

Related applications

Continue exploring the connected mine

Frequently asked questions

Implementation questions

Can Predictive Maintenance of Mining Equipment connect to existing PLC, SCADA or mine systems?

Usually, yes. The preferred approach is to reuse approved source data and add isolated field instrumentation only where required. The final interface depends on available protocols, network segregation, data ownership and the source equipment vendor.

Does the IoT layer replace local protection or safety controls?

No. Protection relays, safety PLCs, emergency stops, gas trips, fire systems and other approved local functions remain the primary safety and control layer. IoT adds visibility, history, notifications and decision support.

What happens when underground communications are interrupted?

Critical local functions continue independently. A suitable edge gateway buffers timestamped data, raises a communications-health alarm and forwards retained records after the connection returns.

How are sensors and alarm levels selected?

Selection starts with the mine risk assessment, required decision, environmental classification, measuring range, response time, maintainability and applicable rules. Alarm and trip levels must be approved for the specific site and jurisdiction.

Discuss Predictive Maintenance of Mining Equipment

Discuss field instrumentation, edge connectivity, dashboards and integration with the Synergy Automatics team.

Talk to our experts

Engineering note: Instrument selection, hazardous-area certification, alarm limits, interlocks and network architecture must be validated against the mine risk assessment, applicable legislation, equipment approvals and site operating procedures.