Dashboard Use Cases
Dashboard Use Cases
1. Ride-Sharing Platform: Smart Bike Fleet Management
Top-Level Operations Dashboard
- Geo Map Panel: Shows all deployed bikes
- Dynamic icons based on:
- Bike lock status (locked/unlocked)
- User status (in use/available)
- Battery level (high/medium/low)
- Popup info: Bike ID, current location, battery percentage
- Dynamic icons based on:
- Numeric Panels:
- Active rides
- Bikes deployed today
- Total revenue today
- Line Chart: Hourly ride frequency over the past 24 hours
- Pie Chart: Distribution of bike usage by neighborhood
- Bar Chart: Top 5 most popular bike stations
Fleet-Level Dashboard
- Geo Map Panel: Focused view of bikes in a specific fleet or area
- Table Panel: Aggregated audit log of bike parameters
- Columns: Bike ID, Last Maintenance, Battery Health, Lock Status
- Line Chart: Fleet performance over time (rides per day)
- Heatmap: Usage patterns by time of day and day of week
Device-Level Dashboard (Individual Bike)
- Shadow Panel: Tabular view of all bike parameters
- Gauge Panels:
- Main battery level
- Backup battery level
- Numeric Panel: Current ride duration (if in use)
- Line Chart: Battery drain rate over time
- Bar Chart: Daily ride count for this bike over the past month
2. Smart Agriculture: Vineyard Management System
Farm-Wide Dashboard
- Geo Map Panel: Overview of entire vineyard
- Icons represent irrigation systems, weather stations, and soil sensors
- Color-coded based on soil moisture levels
- Heatmap: Soil temperature across different vineyard sections
- Line Chart: Rainfall and irrigation levels over time
- Gauge Panel: Overall farm water usage vs. allocation
Block-Level Dashboard
- Geo Map Panel: Detailed view of a specific vineyard block
- Line Charts:
- Soil moisture trends
- Canopy temperature
- Pest presence detected by smart traps
- Bar Chart: Yield predictions by grape variety
- Numeric Panels:
- Growing degree days
- Days until estimated harvest
Individual Plant Dashboard
- Shadow Panel: All sensor data for a specific plant
- Gauge Panels:
- Soil moisture at different depths
- Leaf wetness
- Line Chart: Plant growth rate over time
- Pie Chart: Nutrient composition in surrounding soil
3. Smart City: Urban Environmental Monitoring
City-Wide Dashboard
- Geo Map Panel: All environmental sensors across the city
- Icons change based on air quality index
- Heatmap: Noise levels across different city zones
- Line Chart: Average air quality trend over the past month
- Bar Chart: Water quality parameters by district
District-Level Dashboard
- Geo Map Panel: Detailed view of sensors in a specific district
- Gauge Panels:
- Current air quality index
- Noise level
- UV index
- Line Charts:
- Particulate matter (PM2.5 and PM10) levels over time
- Temperature and humidity trends
- Pie Chart: Energy consumption by source (renewable vs. non-renewable)
Individual Sensor Dashboard
- Shadow Panel: All parameters measured by the sensor
- Gauge Panels:
- Current readings for key pollutants
- Battery level of the sensor
- Line Chart: 24-hour trend for all measured parameters
- Numeric Panel: Sensor uptime and data transmission frequency
4. Industrial IoT: Manufacturing Plant Monitoring
Factory-Wide Dashboard
- Geo Map Panel: Layout of the factory floor
- Machine icons change color based on operational status
- Numeric Panels:
- Overall Equipment Effectiveness (OEE)
- Current production rate
- Active work orders
- Line Chart: Energy consumption trend
- Bar Chart: Downtime by machine category
Production Line Dashboard
- Geo Map Panel: Detailed view of a specific production line
- Gauge Panels:
- Current line speed
- Quality control pass rate
- Line Charts:
- Production output over time
- Defect rate trends
- Table Panel: Recent quality control alerts
Individual Machine Dashboard
- Shadow Panel: All machine parameters and settings
- Gauge Panels:
- Current RPM
- Oil pressure
- Operating temperature
- Line Chart: Vibration levels over time
- Bar Chart: Maintenance history and upcoming schedules
These use cases demonstrate the versatility and power of the dashboard system across various industries. By combining different panel types and leveraging real-time data, organizations can gain valuable insights, improve operational efficiency, and make data-driven decisions. The ability to drill down from high-level overviews to specific device details allows for comprehensive monitoring and management of complex IoT ecosystems.