IoT Monitoring

Siteplore Platform — IoT Monitoring

Connect Field Data. Understand What Is Happening.

Siteplore connects compatible sensors, meters and equipment to cloud-based monitoring so operational teams can review current measurements, historical trends, events and analytical context without depending only on periodic manual inspection.

Siteplore is designed as a monitoring, data and analytics layer. Control, protection and safety functions require separately engineered systems where applicable.
Connected Monitoring Flow
01
Physical Condition Energy • Machine • Environment • Process • Utility
02
Sensors & Instruments Compatible field measurements
03
Edge Acquisition RekaSense • PowerWatch • MachineGuard • Integration
04
Cloud Time-Series Data Historical operational data layer
05
Grafana Cloud Monitoring Dashboards • Alerts • Analytics • Investigation
06
Operational Action Inspect • Investigate • Prioritize • Improve
The Monitoring Gap

Many important operating conditions are still visible only when someone checks them.

Industrial and distributed operations often contain useful measurements that remain local, manually recorded or isolated inside separate devices. Siteplore provides a way to connect selected information into one historical monitoring environment without assuming that every existing system must be replaced.

01

Manual Measurements

Data may only become available during operator rounds or scheduled inspections.

02

Isolated Instruments

Useful meters and sensors may exist but their data remains local to the equipment.

03

Missing Historical Context

A current reading alone does not show whether the condition is normal, changing or recurring.

04

Distributed Sites

Remote equipment can be difficult to observe without physical inspection.

05

Different Data Sources

Energy, machine condition, environment and process information may live in separate systems.

06

Data Without Action

Collecting more data creates little value unless it helps users recognize meaningful operational changes.

What Siteplore Can Monitor

Build connected monitoring around the operational condition that matters.

Monitoring scope is determined by the available measurements, suitable field interfaces and the operational objective.

01

Electrical & Energy

Monitor compatible electrical and energy measurements.

Voltage Current kW kWh PF
02

Machine Condition

Collect selected condition and operating information for equipment monitoring.

Vibration Temperature Running State
03

Environmental Conditions

Connect compatible weather and environmental instruments.

Temperature Humidity Rain Wind
04

Water & Agriculture

Monitor selected water, soil and field conditions.

pH DO EC Soil
05

Process & Utilities

Add operational context from compatible field measurements.

Level Flow Pressure Temperature
06

Remote Assets

Connect distributed monitoring points where physical inspection is difficult or infrequent.

Remote Site Cellular Distributed Asset
Field Data Acquisition

Different measurements require different integration approaches.

IoT monitoring is not simply connecting a cable to a gateway. Sensor protocol, register mapping, signal type, power, isolation, grounding and installation conditions must be reviewed for each application.

485

Industrial Digital

Compatible RS485 / Modbus RTU devices can be integrated where communication parameters and register maps are known.

ANA

Analog Signals

4–20 mA or other analog signals require suitable industrial input or conversion hardware where supported by the design.

DIG

Local Digital

Application-specific GPIO, UART or other compatible local interfaces may be considered.

NET

Network Data

Compatible APIs, MQTT or network protocols can be integrated where appropriate.

Siteplore IoT Architecture

From physical measurement to operational visibility.

01 — FIELD

Sensor / Meter

Measures the relevant physical parameter.

02 — EDGE

Acquisition

Collects compatible measurements from the field.

03 — CONNECT

Secure Data Transfer

Sends selected data through the configured network path.

04 — CLOUD

Time-Series Data

Stores measurement history for monitoring and analysis.

05 — MONITOR

Grafana Cloud

Dashboards, trends, alerts and analytical context.

Managed Cloud Monitoring

Keep the focus on operations, not on maintaining monitoring servers.

Siteplore can use managed cloud services for time-series storage and visualization, reducing the need for customers to operate their own monitoring infrastructure.

Time-Series Layer Cloud Data Storage Historical measurement data can be stored in a configured cloud time-series environment.
Visualization Grafana Cloud Dashboards Operational data can be presented through configurable monitoring views.
Customer Access Authenticated Monitoring Customer users can access assigned monitoring environments using individual identities.
Cloud Operations Reduced Infrastructure Administration Managed cloud services reduce the need to maintain dedicated visualization servers.
Beyond Basic Dashboards

Connected data can support progressively more useful analysis.

Grafana Cloud provides monitoring and analytical capabilities that can extend Siteplore beyond basic visualization where supported by the selected stack, data source and customer configuration.

Visualization

Dashboards & Trends

Review current values, historical behavior, comparisons and time-series context.

Event Awareness

Alerts & Monitoring Events

Use configured alerting to highlight selected conditions requiring further attention.

Investigation

Investigations

Use available investigation workflows to explore relevant monitoring changes and context.

Machine Learning

Metric Forecasts

Forecasting can be evaluated for suitable time-series metrics where supported by available data and the deployed Grafana capability.

Machine Learning

Outlier Detection

Outlier-detection capabilities can help identify unusual behavior in suitable monitored metrics.

AI-Assisted Analysis

Assistant & Search

Available AI-assisted and search capabilities can support investigation and navigation where enabled in the customer stack.

Advanced analytics capabilities depend on the Grafana Cloud plan, data-source compatibility, available historical data and customer configuration. They should not be interpreted as guaranteed predictive accuracy or automatic operational decisions.

Data Quality Before Analytics

A dashboard cannot correct an unreliable measurement.

Useful IoT monitoring starts with appropriate measurement technology, installation and data context. Analytics only becomes meaningful after the field-data foundation is credible.

01

Right Measurement

Select a parameter that actually represents the operational question.

02

Correct Sensor

Measurement technology must be suitable for the application and expected environment.

03

Representative Location

Sensor placement should provide meaningful information about the condition being monitored.

04

Reliable Communication

Data transmission should be appropriate to the site and network constraints.

05

Contextual Metadata

Site, area, asset, device and measurement identity help preserve data meaning.

06

Verification & Maintenance

Sensors and instruments may require calibration, cleaning, inspection or validation.

Siteplore Edge Products

Different monitoring problems use different field acquisition layers.

Siteplore products provide application-focused paths for bringing selected field information into the monitoring platform.

Multi-Sensor Edge

RekaSense

Sensor-agnostic, RS485/Modbus-first edge monitoring for compatible environmental, water, agriculture, process and remote measurements.

Explore RekaSense →
Electrical & Energy

PowerWatch

Connect compatible electrical metering data for energy and operating-context monitoring.

Explore PowerWatch →
Machine Condition

MachineGuard

Retrofit condition-monitoring and early-warning visibility for selected rotating equipment.

Explore MachineGuard →
Example Monitoring Applications

Apply IoT monitoring where connected data can improve a decision.

Manufacturing

Factory Utility Monitoring

Connect selected utility measurements for historical visibility.

Meter / Sensor
→ Edge
→ Siteplore
Reliability

Critical Equipment Monitoring

Monitor selected machine condition between inspection intervals.

Machine Condition
→ MachineGuard
→ Trend & Warning
Power

Energy Monitoring

Review energy behavior across selected electrical loads.

Meter
→ PowerWatch
→ Energy Context
Environment

Remote Environmental Station

Bring distributed environmental measurements into cloud monitoring.

Sensors
→ RekaSense
→ Cloud Monitoring
Water

Remote Water Monitoring

Monitor selected water, level and pumping information.

Water Instruments
→ Edge
→ Historical Context
Agriculture

Field Condition Monitoring

Connect soil, weather or water measurements from distributed locations.

Field Sensors
→ RekaSense
→ Siteplore
What a Siteplore IoT Deployment Can Include

More than a dashboard. A complete monitoring path from field to cloud.

Exact deliverables depend on the project scope, existing instrumentation, integration requirements and selected Siteplore package.

Monitoring Point Definition

Defined physical parameters and asset context for the agreed monitoring scope.

Sensor / Instrument Requirements

Requirements for compatible measurement technology where included in scope.

Edge Architecture

Defined acquisition and connectivity approach.

Cloud Data Configuration

Time-series data structure for the agreed monitoring solution.

Grafana Monitoring Views

Dashboards and trends aligned with project requirements.

Configured Alerts

Monitoring events where technically justified and included in scope.

Customer Access

Authenticated dashboard access according to the selected deployment model.

Training & Handover

Operational knowledge transfer where included in the engagement scope.

Monitoring Maturity

Start with visibility. Add intelligence when the data supports it.

Siteplore does not require every deployment to begin with advanced analytics. Monitoring capability can mature progressively as data quality and operational value are demonstrated.

01

Connect

Bring selected measurements into the cloud.

02

Visualize

Build historical dashboards and monitoring views.

03

Alert

Highlight selected conditions requiring attention.

04

Analyze

Add comparison, investigation and analytical context.

05

Improve

Use monitoring evidence to improve operational decisions.

Start IoT Monitoring

Start small, validate the measurement, then scale the monitoring.

Commercial scope depends on monitoring points, instrumentation, connectivity, installation, cloud configuration, dashboards and support requirements.

Engineering Definition

Site Assessment

For sites that need to determine what should be monitored before selecting hardware.

  • Operational problem review
  • Monitoring-point assessment
  • Existing instrumentation review
  • Connectivity assessment
  • Recommended architecture
Request Site Assessment
Integrated Monitoring

Siteplore Deployment

For organizations ready to deploy monitoring across multiple assets or operational domains.

  • Integrated monitoring architecture
  • Multiple monitoring points
  • Siteplore product integration
  • Customer monitoring environment
  • Training & support scope
Discuss Deployment
Important Platform Boundary

Monitoring creates visibility. It does not automatically become control or protection.

Siteplore is positioned as a connected monitoring, historical data and analytics platform. Application-specific control, safety, protection and regulatory functions require separate engineering where applicable.

Capability Siteplore IoT Monitoring Important Boundary
Connected field monitoring Yes Compatible measurement and interface required
Historical trends Yes Depends on available data
Cloud dashboards Yes Configured according to project scope
Configured monitoring alerts Where defined Requires suitable alert logic
Forecasting / outlier analytics Potentially Depends on Grafana capability and suitable data
AI-assisted analysis Where available Requires suitable stack capability and configuration
Automatic process control Not by default Dedicated control engineering required
Safety shutdown No Dedicated safety system required
Electrical protection No Dedicated protective devices required
Guaranteed prediction No Analytics require validation for the use case
Hazardous-area suitability Not assumed Certified equipment and engineering review required
Frequently Asked Questions

IoT Monitoring FAQ

What is Siteplore IoT Monitoring?

Siteplore IoT Monitoring is the platform capability that connects compatible field measurements to cloud-based historical monitoring, visualization and analytical workflows.

Is IoT Monitoring the same as RekaSense?

No. IoT Monitoring is a Siteplore platform capability. RekaSense is one edge product that can provide field acquisition for compatible multi-sensor monitoring applications.

Can existing sensors be used?

Potentially yes. Existing sensors should be reviewed for measurement suitability, protocol, signal type, power, installation and available documentation.

Does RS485 mean a sensor is automatically compatible?

No. RS485 defines the physical communication layer. Integration still requires compatible protocol behavior, register information, addressing, baud rate, parity and appropriate field wiring.

Can Siteplore monitor 4–20 mA instruments?

Potentially yes through suitable analog input or signal-conversion hardware. A standard RS485-first gateway should not be assumed to accept 4–20 mA directly.

Does Siteplore use InfluxDB?

A cloud time-series platform such as InfluxDB Cloud can be used as the historical data layer according to the configured Siteplore architecture.

Does Siteplore use Grafana Cloud?

Grafana Cloud can provide the visualization and analytics environment for Siteplore customer monitoring. The broader Siteplore solution also includes field measurements, edge acquisition, data architecture and engineering services.

Can customers log in to their dashboards?

Yes. Customer monitoring access can be configured using authenticated Grafana Cloud user identities according to the selected deployment model.

Can Siteplore provide alerts?

Configured alerting can be used for selected monitoring conditions where technically justified and included in project scope.

Can Siteplore forecast future values?

Grafana Cloud metric-forecasting capabilities can be evaluated for suitable monitored metrics where the customer stack, data source, historical data and use case support them. Forecasts should not be interpreted as guaranteed outcomes.

Can Siteplore detect abnormal behavior?

Trend analysis, configured alerts and available outlier-detection capabilities can support identification of selected unusual behavior. Performance depends on data quality and the analytical method used.

Does Siteplore have AI?

AI-assisted capabilities available within the deployed Grafana Cloud environment can support search, investigation and analytical workflows where enabled. Siteplore does not assume that every deployment automatically includes every AI capability.

Can Siteplore control pumps or machines automatically?

Not as a standard IoT Monitoring function. Automatic control requires dedicated control engineering, interlocks and application-specific validation.

Can Siteplore replace PLC, SCADA or DCS?

No. Siteplore is positioned as a monitoring, historical-data and analytics layer. PLC, DCS and SCADA remain appropriate for their control and plant-operational functions.

Can one Siteplore system monitor multiple sites?

Multi-site monitoring can be designed where the connectivity, customer access and cloud architecture support the requirement.

How should we start?

Start with the operational question: what condition should become visible, how is it measured today, and what decision would improve if the data were available historically and remotely? Rekacipta can then assess the appropriate sensor, edge, connectivity and cloud architecture.

Do not start with the dashboard. Start with the condition you need to understand.

Rekacipta can help define the right measurement points, connect compatible field devices, establish the cloud monitoring path and turn operational time-series data into useful Siteplore dashboards, alerts and analytical context.