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Architecture

flowchart TD
    B(Brake Sensors) -->|Analog| SC(["<a href='https://github.com/AlistairKeiller/FSAE/tree/master/fsae-vehicle-fw' target='_blank'>Teensy/Speed Controller</a>"])
    L(Linear Potentiometers) -->|Analog| SC
    PI(Pedal Input) -->|Analog| SC
    O(Orion BMS) -->|CAN| Pi
    %% OI(Omni Inverter) -->|CAN| Pi
    SC(Teensy Omni Speed Controller) -->|CAN| Pi
    IMU(MPU6050 IMU) -->|I2C| SC
    GPS(NEO-6M GPS) -->|UART| SC
    IMS(Elcon Charger) -->|CAN| Pi
    IMS(Elcon Charger) <-->|CAN| O
    SC(["<a href='https://github.com/AlistairKeiller/FSAE/tree/master/fsae-vehicle-fw' target='_blank'>Teensy/Speed Controller</a>"]) <-->|CAN| OI(Omni Inverter)
    subgraph Pi[Raspberry Pi System]
        R(["<a href='https://github.com/AlistairKeiller/FSAE/tree/master/fsae-raspi' target='_blank'>Raspi Logger</a>"]) -->|HTTP| I(InfluxDB)
        R -->|MQTT| D(["<a href='https://github.com/AlistairKeiller/FSAE/tree/master/fsae-dashboard' target='_blank'>Raspi Dashboard</a>"])
    end
    subgraph Graphana[Wireless Grafana]
        I -->|HTTP| F(Full Histroy Preview)
        R -->|MQTT| P(Real Time Preview)
    end
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Development Environment

fsae-raspi

  • Open the project in VSCode
  • Install the Devcontainer extension for VSCode
  • Open the command palette (Super+Shift+P) and run Dev Containers: Rebuild and Reopen in Container
  • The project will now be running in a container with all the necessary dependencies (rust) and services (grafana, influxdb)
  • Now run cargo run --bin fsae-raspi to start the logging service
  • You can view the dashboard at http://localhost:3000 (default username: admin, password: admin)
  • You can view the influxdb database (http://localhost:8086) or mqtt broker (localhost:1883), by adding it as a data source in grafana

fsae-arduino

  • Plug in the Arduino
  • Open the project in VSCode
  • Install the PlatformIO extension for VSCode
  • Open the command palette (Super+Shift+P) and run PlatformIO: Upload
  • The code will now be running on the Arduino

fsae-dashboard

  • Open the project in VSCode
  • Now run cargo run --bin fsae-dashboard to start the dashboard

User: Max Truong

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