Case Studies

Application case studies

From field signals to accountable operational action.

Explore how Siteplore can combine connected sensing, engineering context and managed insight to protect critical assets, reduce operating cost, support compliance and improve field decisions.

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Deployment scenarios are converted into measurable customer case studies after baseline validation and a defined paid pilot.
Critical Asset Overview Live monitoring
82
Asset health score
VIBRATION TREND
4.8 mm/s
+18% vs baseline
Inspection recommended
Check alignment, mounting and lubrication within 72 hours.
Priority 2
Protect Detect degradation earlier Turn changing conditions into prioritized warnings.
Optimize Convert waste into savings Relate consumption, runtime and maintenance to business value.
Assure Build traceable evidence Keep measurement, calibration and response records connected.
Explore Collect decision-ready data Support research, field studies and crop optimization.

What a case must prove

A useful case study begins with a decision, not a dashboard.

Siteplore structures each deployment around a defined operational problem, an observable baseline, an accountable response and measurable acceptance criteria.

01

Detect the right condition

Combine thresholds, rate-of-change, baseline deviation and operating context to reduce nuisance alerts.

02

Explain the operational risk

Translate data into affected equipment, severity, probable causes and potential consequences.

03

Recommend a practical response

Provide inspection priorities and time-bound actions while keeping authorized personnel in control.

04

Verify the result

Capture field feedback, completed work, corrected condition and the value protected or saved.

Operational scenarios

Explore Siteplore by business problem.

Each scenario can begin with a focused 90-day paid pilot and scale after its technical and economic value is verified.

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MachineGuard

Early warning for rotating equipment

Identify developing motor, pump, fan or gearbox problems before an alarm becomes a forced shutdown.

ObserveVibration, bearing temperature, motor current, speed, load and process condition.
DecideRank severity, correlate signals and recommend checks for alignment, looseness, lubrication or bearing condition.
ProveValidate findings through inspection and measure warning lead time, avoided damage and false-alarm rate.
Warning lead timeValidated findingsAvoided downtime
Explore MachineGuard
MachineGuard

MCC duty–standby assurance

Keep standby motors and pumps ready by monitoring rotation schedules, runtime balance and unsuccessful starts.

ObserveRun status, breaker and contactor state, current, runtime, start count, trip history and process permissives.
DecideFlag missed rotation, excessive starts, runtime imbalance, failed standby tests and unavailable backup equipment.
ProveTrack schedule compliance, standby availability and confirmed successful changeovers.
Runtime balanceStandby availabilityFailed starts
Explore MachineGuard
Managed Insight

Close monitoring of critical assets

Provide always-on visibility and escalation for assets whose failure could affect safety, environment, production or quality.

ObserveContinuous multivariable trends with edge buffering, sensor-health checks and operating-state context.
DecideUse risk-based severity, alert escalation and expert review to prioritize the next safe action.
ProveMeasure data availability, detection coverage, response time and reduction in emergency work.
Asset availabilityResponse timeEmergency work
Reliability solutions
Portable Survey

Portable machine health evaluation

Screen many machines economically before selecting which assets need corrective work or permanent online monitoring.

ObserveRoute-based vibration, temperature, current, speed, measurement position and operating-load data.
DecideCompare repeatable readings with baseline and classify normal, watch, investigate or urgent conditions.
ProveConfirm findings, record corrective work and identify candidates for continuous MachineGuard monitoring.
Machines/dayRepeatabilityConfirmed defects
Request a machine survey
PowerWatch

Energy cost and performance optimization

Separate genuine efficiency improvements from changes caused by production volume, schedule, load or weather.

ObserveEnergy, demand, power factor, operating hours, production output and significant energy-use variables.
DecideIdentify idle load, peak-demand drivers, inefficient schedules and abnormal energy intensity.
ProveNormalize the baseline and verify savings after corrective actions or operating changes.
kWh/unitPeak demandVerified savings
Explore PowerWatch
RekaSense + PowerWatch

Traceable compliance monitoring

Maintain a connected record of measurements, data quality, calibration status, exceedances and corrective actions.

ObserveEnvironmental or energy data with timestamps, sensor metadata, quality flags and calibration records.
DecideIssue pre-alerts, route exceedances, assign accountable actions and monitor overdue calibration.
ProveProduce audit-ready evidence with data completeness, response history and closed corrective actions.
Data completenessResponse timeCalibration status
Explore RekaSense
RekaSense Research

Research study data collection

Create a reliable field-data pipeline for universities, environmental studies, pilot plants and applied research.

ObserveConfigurable sampling, local backup, synchronized timestamps, experiment IDs and sensor metadata.
DecideDetect missing data, sensor faults and study events while researchers can still intervene.
ProveDeliver structured datasets with raw values, quality flags, annotations and CSV/API access.
Dataset completenessSensor uptimeManual visits avoided
Discuss a research deployment
RekaSense Agriculture

Crop and irrigation optimization

Support irrigation decisions using local weather, soil condition, crop stage and measured water delivery.

ObserveRainfall, temperature, humidity, solar radiation, wind, soil moisture, irrigation flow and pump energy.
DecideEstimate crop water requirement, highlight water stress and prioritize irrigation by block.
ProveCompare water use, energy, schedule compliance and crop performance across seasons or treatments.
Water/haIrrigation energyYield comparison
Agriculture monitoring
Evidence policy: the scenarios above describe intended deployment patterns, not fabricated customer claims. Named customers, savings and performance figures should be published only after customer approval and documented baseline verification.

The evidence path

How a scenario becomes a verified case study.

The same four-stage method keeps pilots focused, comparable and commercially defensible.

01 / BASELINE

Define

Agree the pain point, scope, current condition, economic exposure and acceptance criteria.

02 / PILOT

Measure

Install selected sensing, verify data quality and establish normal operating behaviour.

03 / ACTION

Respond

Convert detected conditions into accountable inspections, corrective work and documented feedback.

04 / VALUE

Verify

Compare against the baseline, calculate the result and decide whether to scale across the site.

Aligned where applicable with: ISO 17359 ISO 20816 ISO 50001 ISO 14001 ISO/IEC 17025 principles

Start with one site, one pain point and one measurable outcome.

Siteplore can help define the baseline, select the right signals and structure a 90-day paid pilot with clear technical and business acceptance criteria.

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