Real-Time CO Monitoring MacOS App with Go

This tutorial demonstrates building a real-time CO₂ monitor using Go, a BleuIO BLE USB dongle, and a HibouAir BLE air quality sensor. This Go application efficiently scans for CO₂ data, decodes it, and provides macOS real-time notifications when CO₂ levels surpass a critical threshold. The use of BleuIO's AT commands simplifies BLE interaction, allowing focus on application logic.

Project Goal:

The application will:

1. Utilize BleuIO to scan for HibouAir BLE advertisements broadcasting CO₂ levels.
2. Decode these advertisements to extract the CO₂ concentration.
3. Display a real-time macOS notification when CO₂ levels exceed a predefined threshold (e.g., 1000 ppm).

macOS notifications are implemented via the osascript utility, providing immediate alerts.

Why This Is Useful:

This application addresses the issue of unnoticed environmental changes. It's particularly beneficial for:

• Office workers: Monitoring meeting rooms or shared workspaces for adequate ventilation.
• Remote workers: Maintaining a healthy home workspace.
• Educational settings: Ensuring safe CO₂ levels in classrooms and labs.

Technical Specifications:

• Programming Language: Go (chosen for its simplicity, performance, and community support).
• BLE USB Dongle: BleuIO (simplifies BLE communication using AT commands).
• CO₂ Sensor: HibouAir (provides real-time BLE air quality data).

Workflow:

1. Dongle Initialization: BleuIO is configured as a central device to scan for BLE devices.
2. Data Scan: The AT FINDSCANDATA command scans for HibouAir advertisements containing CO₂ data.
3. CO₂ Data Extraction: Relevant advertisement data is extracted and converted to ppm.
4. Notification: Go's exec.Command executes osascript to display a desktop notification if the CO₂ threshold is exceeded.

Implementation (Go Code):

package main

import (
    "bufio"
    "fmt"
    "log"
    "os/exec"
    "strconv"
    "strings"
    "time"

    "go.bug.st/serial"
)

// ... (rest of the Go code remains the same) ...

(The complete Go code is available at https://www.php.cn/link/b270a720f6ac2e8a8c53d968243d5971)

Output:

This project leverages Go's efficiency and BleuIO's simplicity to create a practical, adaptable real-time CO₂ monitoring solution.

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