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DeviceBoard – Analytics & Reports User Guide

DeviceBoard – Analytics & Reports User Guide

DeviceBoard – Analytics & Reports User Guide

DeviceBoard provides a powerful analytics and reporting framework that enables users to visualize real-time performance, track historical trends, process AI-driven insights, monitor device health, and generate automated or on-demand reports.

This guide explains:

  • Available analytics features
  • Types of built-in analytics
  • Device, asset, and fleet-level analytics
  • AI-driven analytics
  • Time-series computation capabilities
  • Alarm & event analytics
  • Dashboard analytics
  • Report generation options
  • Scheduling, exporting, and automation

1. Introduction to Analytics in DeviceBoard

DeviceBoard’s analytics engine processes telemetry, attributes, alarms, events, and AI model outputs from all devices and assets. Analytics can be viewed through:

  • Dashboard widgets
  • Analytical modules
  • Reports
  • Export tools
  • Custom queries via REST APIs

Analytics are powered by DeviceBoard’s time-series database, RulesFlow, and integrated AI engines.

2. Types of Analytics Supported by DeviceBoard

2.1 Real-Time Analytics

These analytics update as soon as telemetry arrives from devices.

Supported features:

  • Live telemetry widgets
  • Real-time charts
  • Value cards and KPIs
  • Map-based analytics
  • Live alarms panel
  • Live event streams

Useful for operational dashboards, production floors, and critical system monitoring.

2.2 Historical Analytics

DeviceBoard stores and analyzes long-term data for:

  • Performance trends
  • Maintenance planning
  • Energy consumption
  • Behavior changes
  • Seasonal or periodic patterns

Features include:

  • Trend charts
  • Time-series aggregation queries
  • Rolling windows
  • Heatmaps
  • Histograms

Supported computations:

  • Min, Max
  • Average
  • Median
  • Sum
  • Count
  • Percentiles
  • Moving averages
  • Custom aggregations

2.3 AI-Driven Analytics

DeviceBoard integrates trained AI models to provide:

Supervised Model Analytics:

  • Predictions
  • Regression outputs
  • Classification insights
  • Failure probability
  • Health scoring

Unsupervised Model Analytics:

  • Anomaly detection
  • Health score computation
  • Pattern deviation analysis

AI analytics can be visualized on dashboards or embedded in reports.

2.4 Fleet Analytics

Fleet analytics help understand device groups, categories, or models at scale.

Examples:

  • Device uptime
  • Fleet energy usage
  • Device availability percentage
  • Group-level KPIs
  • Comparison between device groups
  • Sensor distribution profiles

2.5 Alarm Analytics

Alarm analysis includes:

  • Alarm frequency
  • Alarm severity distribution
  • Top recurring alarms
  • Device-level alarm history
  • Mean Time Between Failures (MTBF)
  • Mean Time To Resolve (MTTR)
  • Alarm duration analytics

These insights help with operational diagnostics and maintenance planning.

2.6 Asset Analytics

Assets often represent buildings, rooms, machines, floors, or locations.

Supported analytics:

  • Asset-level KPIs
  • Device-to-asset performance mapping
  • Environmental compliance analytics (temperature, humidity, etc.)
  • Energy consumption by asset
  • Equipment utilization

2.7 Operational Analytics

Derived from system-level data:

  • User activity
  • RulesFlow performance
  • AI model performance
  • Device onboarding trends
  • Dashboard usage analytics

3. Built-In Analytical Widgets

DeviceBoard provides a rich library of analytical widgets used in dashboards and reports:

Data Visualization Widgets

  • Line charts
  • Bar charts
  • Area charts
  • Pie and donut charts
  • KPI tiles
  • Gauge meters
  • Trend indicators
  • Heatmaps
  • Scatter plots
  • Bubble charts

Specialty Widgets

  • Alarm table
  • Alarm statistics chart
  • Device event stream
  • Map and geo-tracking widget
  • AI prediction display widget
  • Anomaly score visualization
  • Health score widgets
  • Multi-series comparison charts

Widgets can be configured to use:

  • Device groups
  • Asset groups
  • Dynamic filters
  • Time ranges
  • Aggregation intervals

4. Analytics Features by Data Type

4.1 Telemetry Analytics

Telemetry data can be:

  • Visualized
  • Aggregated
  • Filtered
  • Compared
  • Exported

Supported operations:

  • Real-time streaming
  • Time series breakdown
  • Multi-device comparison
  • Cross-sensor analytics
  • Threshold analytics

4.2 Attribute Analytics

Attributes represent configuration or state values.

Analytics include:

  • Attribute trends
  • Configuration change logs
  • Attribute-based filtering in reports

4.3 Alarm Analytics

DeviceBoard tracks:

  • Alarm frequency
  • Duration
  • Severity trend
  • Acknowledgment patterns
  • Alarm impact score

Charts include:

  • Alarm heatmap
  • Weekly alarm distribution
  • Alarm resolution timeline

4.4 AI Analytics

Analytics for AI outputs include:

  • Model accuracy trends
  • Prediction vs actual comparison
  • Health score trends
  • Quality score distributions
  • Anomaly spikes visualization

5. Report Generation in DeviceBoard

DeviceBoard provides a flexible reporting engine that allows generating:

  • Manual (on-demand) reports
  • Scheduled automated reports
  • Exportable reports (PDF, Excel, CSV)
  • Analytics-rich visual reports
  • AI-driven diagnostic reports
  • Alarm & maintenance reports

Reports can combine:

  • Dashboards
  • Widgets
  • Tables
  • Charts
  • Summaries
  • AI predictions
  • Anomaly statistics

6. Types of Reports Supported

6.1 Device Performance Report

Shows:

  • Uptime percentage
  • Telemetry trends
  • Usage metrics
  • Threshold violations
  • Average, min, max sensor values
  • Data completeness score
  • Device health indicators

Useful for maintenance and operations.

6.2 Fleet Summary Report

Includes:

  • KPIs for entire device groups
  • Group-based comparison metrics
  • Fleet-wide energy usage
  • Alarm summary for all devices
  • Device availability overview

6.3 Alarm & Notification Report

Contains:

  • List of alarms for time period
  • Alarm severity breakdown
  • Number of active vs cleared alarms
  • MTTR and MTBF
  • Top recurring alarms
  • Notification logs (email, SMS, webhooks)

This report is critical for incident management.

6.4 AI Analytics Report

Generated for devices using AI models.

Includes:

Supervised Models

  • Prediction accuracy
  • Regression output summary
  • Classification distribution
  • Failure probability trends

Unsupervised Models

  • Anomaly scores over time
  • Health score histograms
  • Anomaly-triggered alarms
  • Model confidence metrics

6.5 Asset Utilization Report

For each asset:

  • Sensor readings
  • Operational usage
  • Performance KPIs
  • Lifecycle stage
  • Maintenance status

Applicable to buildings, rooms, factories, etc.

6.6 Environmental Analysis Report

Useful for HVAC, energy, greenhouse, and industrial environments:

Includes:

  • Temperature/humidity trends
  • Air quality index
  • Energy consumption
  • Comfort score
  • Deviations and violation logs

6.7 Energy Consumption Report

Reports include:

  • Total energy usage
  • Energy cost estimation
  • Device-level energy breakdown
  • Peak load analysis
  • Predictive energy insights

6.8 Custom Reports

Users may include:

  • Filters
  • Custom metrics
  • Custom charts
  • Multiple devices
  • AI insights
  • RulesFlow results

7. Scheduled Report Automation

Reports can be automatically delivered by:

  • Email
  • PDF attachment
  • Link-based secure downloads

Schedule options:

  • Hourly
  • Daily
  • Weekly
  • Monthly
  • Custom intervals

Use cases:

  • Daily alarm summary for operations
  • Weekly energy consumption
  • Monthly performance reports for clients
  • AI prediction summaries for engineering teams

8. Export Options for Analytics and Reports

DeviceBoard supports exporting:

  • Telemetry → CSV, Excel
  • Charts → PNG, JPG
  • Dashboards → PDF
  • Reports → PDF, Excel
  • Alarm logs → CSV, Excel

This ensures compatibility with BI tools, audits, and downstream analytics systems.

9. Access Control for Analytics and Reports

Analytics visibility depends on:

❖ Device Groups

Users can only analyze devices inside their assigned groups.

❖ Asset Groups

Reports only include permitted assets.

❖ RBAC Permissions

Defines whether the user can:

  • Access analytics module
  • Access reports module

❖ ABAC Permissions

Defines actions:

  • Can generate reports
  • Can edit reports
  • Can export data
  • Can schedule reports

Hub Admin configures these permissions per role.

10. Troubleshooting Analytics & Reports

  • Device may be offline
  • Filters exclude telemetry keys
  • Incorrect device group visibility
  • Data retention window expired
  • Missing permissions (ABAC)
  • SQL or query filter invalid
  • Custom widgets referencing hidden devices
  • Device not sending regular telemetry
  • Gateway offline
  • Report aggregation interval too small

11. Summary

DeviceBoard provides:

  • Real-time analytics
  • Historical time-series analytics
  • AI-driven insights (prediction + anomaly detection)
  • Alarm & maintenance analytics
  • Fleet-level and asset-level analytics
  • Rich analytical visualization widgets
  • Fully customizable reports
  • Automated scheduled reports
  • Multi-protocol, multi-tenant visibility control

This makes DeviceBoard a complete analytics platform suitable for operations teams, engineering teams, service providers, and enterprise managers.