Mixed-fleet monitoring needs one asset, signal, alert, and work-order contract
We scope mining equipment monitoring around a defined maintenance decision across OEM feeds, site telemetry, inspections, and the CMMS. Because this URL overlaps predictive maintenance and IoT services and has no direct mining-equipment proof, consolidation is recommended unless qualified demand supports a separate buyer journey.
Bring the problem, the current workflow, or the existing code. We reply with a practical next step within one business day.
Focused decision
1 maintenance loop
First scope
One equipment class, approved feeds, alert decision, and work-order loop.
12-16 weeks
Timeline
Prove signal quality and technician action before wider fleet rollout.
From $45K
Investment
Fixed after assets, feeds, history, CMMS, and pilot conditions are known.
Good software decisions begin with the constraint, not a list of features or a preferred technology.
01
Reliability teams switch between OEM portals and manually reconcile asset, fault, hour, and maintenance records?
02
Alerts arrive without operating context, confidence, accountable action, or confirmation that maintenance changed the outcome?
Plain answer
Mining equipment monitoring software combines approved OEM and site telemetry into a common asset view, then routes explainable health alerts into maintenance work. Start with one equipment class and one alert-to-work-order loop. Custom development fits when existing portals cannot support the fleet decision, with focused releases starting at $45,000.
The alert existed. Nobody could connect it to the maintenance record.
One portal showed an engine condition, another system held the asset identifier, and the CMMS recorded a repair against a different code. The shift report combined them by hand.
Fleet visibility begins with identity and accountable maintenance, not a larger dashboard.
Monitoring is one part of the maintenance loop
Mining equipment monitoring combines telemetry, inspections, utilisation, location, faults, maintenance history, and work state. A mixed fleet makes that integration harder because identifiers, engineering units, sampling cadence, codes, availability, and vendor access differ.
That does not create a separate software category by itself. The core decision is already covered by predictive maintenance development and IoT development. Without direct proof or validated demand, this URL should merge into that broader journey while retaining the mixed-fleet implementation detail.
A bounded monitoring offer
1
Equipment class first
One condition, alert, action, work order, and feedback loop
12-16
Indicative delivery weeks
After feed access, history, CMMS, and pilot users are ready
$45K
Starting investment
Focused integration, monitoring, alerting, work-order flow, and handover
RaftLabs does not cite a named mine-fleet result on this page. We can demonstrate adjacent work in data pipelines, connected operations, and workflow software, but that is not evidence of a mining downtime outcome. The proposal should be judged on feed feasibility, representative tests, safety boundaries, maintenance feedback, and operating ownership.
Integrate the fleet when the decision crosses vendor boundaries.
Do not replace an OEM portal merely to reproduce its dashboard.
A fit
01
A maintenance decision needs equipment, telemetry, inspection, and work history from several systems.
02
Reliability, maintenance, operations, safety, and technology owners can run a bounded pilot.
03
Approved feeds and representative history are available for a first release from $45,000.
Not a fit
01
One OEM portal already supports the fleet and the missing work is configuration or adoption.
02
The team wants predictive alerts without failure labels, maintenance feedback, or an action owner.
03
The proposed automation would bypass approved maintenance, isolation, or safety decisions.
Bounded scope
What one equipment-monitoring loop may include
01
Asset and telemetry contract
Reconcile equipment, component, sensor, location, and CMMS identifiers. Map
vendor units, codes, cadence, timestamps, quality flags, operating modes, and
access limits. Preserve raw evidence where needed, while the common model
gives users a stable operational view.
02
Condition and alert decision
Start with approved thresholds, trends, combinations, or models for one
condition. Attach evidence, confidence, severity, recommended next step, and
suppression state. Separate communication loss and bad sensors from equipment
conditions so noisy data does not become a maintenance instruction.
03
Work order and feedback
Propose or create CMMS work with explicit mapping, duplicate prevention,
acknowledgement, escalation, retry, and failure handling. Return technician
findings, repair, component, cause, and closure state to the monitoring record
so rules and models can be evaluated against what happened.
04
Fleet operations and stewardship
Show current condition, stale feeds, open alerts, acknowledged work, and
exceptions by selected site or equipment class. Give authorised users rule
configuration, audit history, data-quality queues, alert review, runbooks,
monitoring, and recovery without hiding vendor limitations.
Choose the equipment-monitoring path
Approach
Use it when
OEM portal
Use vendor-supported diagnostics
One vendor covers the assets and maintenance decision.
Integration and common view
Normalise selected fleet signals
A cross-OEM decision needs consistent identity, state, and action.
Predictive maintenance
Estimate a defined condition or risk
History and labels can support time-aware evaluation and intervention.
Custom fleet platform
Own broader connected operations
Distinct rules justify device, data, workflow, and support ownership.
An alert is unfinished until somebody can act
A sensor threshold may be useful, but it is not a maintenance strategy. Define what a technician, planner, supervisor, or operator does next, what evidence they need, how quickly they must respond, and what makes the alert resolved. If a work order already exists, the system should not create another one.
Model quality also changes over time. Component revisions, sensor replacements, duty cycles, weather, haul profiles, maintenance practice, and site conditions can shift the relationship between readings and failures. Track false alarms, missed events, lead time, overrides, work completion, and outcomes by equipment class. Retraining or rule changes need review and rollback.
Delivery
From equipment decision to a controlled fleet pilot
Four phases connect telemetry to accountable maintenance before wider rollout.
Phase 1
01
Define asset and maintenance decision
Choose the equipment class, failure or condition, users, response, source
feeds, CMMS, safety boundary, baseline, and pilot measure.
Phase 2
02
Profile telemetry and prototype
Test identifiers, units, cadence, missing data, operating states, alerts,
and work-order behaviour with representative history and live feeds.
Phase 3
03
Build the closed loop
Implement ingestion, normalisation, asset view, alert rules or models,
permissions, CMMS integration, feedback, monitoring, and recovery.
Phase 4
04
Pilot tune and hand over
Run on one equipment class, compare alerts with maintenance evidence, tune
with reliability owners, train users, and transfer runbooks.
Risk
What the monitoring specification must settle
Feed rights
Confirm vendor, gateway, network, licence, rate, retention, export, security, and support constraints before architecture or price is fixed.
Safety boundary
Monitoring can inform work; approved operating, maintenance, isolation, and emergency procedures remain under accountable client control.
Data quality
Detect stale, missing, duplicated, reordered, impossible, mis-scaled, or replaced sensor data before generating consequential alerts.
Model ownership
Name approval, evaluation, change, rollback, drift, false-alarm, missed-event, and retirement responsibilities for every rule or model.
Scope and price
A focused mine-fleet monitoring pilot starts at $45,000.
Start with one equipment class and one alert-to-work-order decision across approved feeds.
The estimate separates vendor access, hardware, connectivity, data remediation, CMMS work, hosting, security, support, and ongoing rule or model ownership.
Starting investment
Starts at $45,000
Focused releases usually take twelve to sixteen weeks. More OEMs, gateways, sites, history, high-frequency data, or advanced models add scope.
Rules before models where they work
We use the simplest approach that supports the maintenance decision and can
be tested by the operating team.
No downtime promise
The pilot measures alerts and interventions; it does not claim software
alone controls equipment availability or maintenance cost.
Yes, when each vendor or site exposes an approved API, export, gateway, or other supported interface. We map equipment identifiers, units, sampling cadence, fault codes, operating states, timestamps, and data-quality flags into a common contract. Integration feasibility and licence limits are confirmed during discovery, not assumed from a brand name.
Reliability and maintenance owners define the condition, action, urgency, acceptable misses, and cost of false alarms. Start with transparent rules or trends where they work. A predictive model needs representative history, trustworthy failure or maintenance labels, time-aware evaluation, and monitoring for changing equipment, sensors, duty cycles, and operating conditions.
They can create or propose work when the CMMS interface and operational controls allow it. The design defines equipment mapping, priority, job plan, evidence, duplicate prevention, acknowledgement, status updates, closure, cancellation, and retry behaviour. High-consequence actions should retain the client-approved human review and safety process.
No. Monitoring may improve detection and maintenance coordination, but downtime also depends on failure modes, data coverage, parts, labour, access, production priorities, and whether teams act. The pilot measures alert usefulness, lead time, work-order response, false alarms, missed events, and maintenance outcomes against an agreed baseline.
A focused pilot starts at $45,000 and usually takes twelve to sixteen weeks. More OEMs, equipment classes, gateways, high-frequency telemetry, historical remediation, advanced models, several sites, offline behaviour, or complex CMMS workflows add scope. Vendor access, hardware, connectivity, hosting, and ongoing model or rule ownership remain visible.
Work with us
Which equipment decision is fragmented across the fleet?
Bring the equipment class, asset register, feeds, history, fault and maintenance records, CMMS workflow, site constraints, and the action the system must improve.
Scope and cost agreed before work starts. No surprises. No obligation.
Working prototype within 3 weeks of kickoff.
Pay by milestone. You see progress before each invoice.
60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.