特集1 ESP32とラズパイで作る本格IoT（Vol.78記載）

筆者：魔法少女

マイコン「ESP32」と小型コンピュータボード「Raspberry Pi」を使って本格的なIoT（Internet of Things、モノのインターネット）環境を構築してみましょう。本企画では、3軸の加速度センサーを用いて簡易地震計を作成し、リアルタイムに揺れをグラフで表示します。

シェルスクリプトマガジン Vol.78は以下のリンク先でご購入できます。

図4　Eclipse Mosquittoの設定スクリプト（mosquitto_setting.sh）

#!/bin/sh

sudo tee /etc/mosquitto/conf.d/confer.conf &lt;&lt; EOF &gt;dev/null
listener 1883
allow_anonymous true
listener 8081
protocol websockets
sudo systemctl reload mosquitto

#!/bin/sh

sudo tee /etc/mosquitto/conf.d/confer.conf << EOF >dev/null

listener 1883

allow_anonymous true

listener 8081

protocol websockets

sudo systemctl reload mosquitto

図18　ESP32搭載ボートの起動時に無線LANに接続するプログラム（boot.py）

import network

SSID = 'SSID'
PASSWORD = 'パスワード'

wlan_if = network.WLAN(network.STA_IF)
wlan_if.active(True)
wlan_if.connect(SSID, PASSWORD)

import network

SSID = 'SSID'

PASSWORD = 'パスワード'

wlan_if = network.WLAN(network.STA_IF)

wlan_if.active(True)

wlan_if.connect(SSID, PASSWORD)

図19　パブリッシャのプログラム（main.py）

import time
from machine import Pin, SoftI2C
import mpu6050
from umqtt.simple import MQTTClient
import json

mqtt_topic = "home/seismometer1"
publisher_id = "place_esp32"
broker_address = "192.168.1.100"
interval_time = "1"

i2c = SoftI2C(scl=Pin(22), sda=Pin(21))
accelerometer = mpu6050.accel(i2c)

time.sleep(5)

while True:
  iot_value = accelerometer.get_values()
  iot_value_json = json.dumps(iot_value)
  print(iot_value_json)
  publisher = MQTTClient(publisher_id,broker_address)
  publisher.connect()
  publisher.publish(mqtt_topic, msg=str(iot_value_json))
  publisher.disconnect()
  time.sleep(int(interval_time))

import time

from machine import Pin, SoftI2C

import mpu6050

from umqtt.simple import MQTTClient

import json

mqtt_topic = "home/seismometer1"

publisher_id = "place_esp32"

broker_address = "192.168.1.100"

interval_time = "1"

i2c = SoftI2C(scl=Pin(22), sda=Pin(21))

accelerometer = mpu6050.accel(i2c)

time.sleep(5)

while True:

iot_value = accelerometer.get_values()

iot_value_json = json.dumps(iot_value)

print(iot_value_json)

publisher = MQTTClient(publisher_id,broker_address)

publisher.connect()

publisher.publish(mqtt_topic, msg=str(iot_value_json))

publisher.disconnect()

time.sleep(int(interval_time))

図24　ブスクライバとなるJavaScriptプログラムを含んだHTMLファイル（seismometer.html）

&lt;!DOCTYPE html&gt;
&lt;html lang="en"&gt;
&lt;head&gt;
  &lt;meta charset="utf-8"&gt;
  &lt;title&gt;簡易地震計&lt;/title&gt;
  &lt;script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.9.3/Chart.bundle.min.js"&gt;&lt;/script&gt;
  &lt;script src="https://cdn.jsdelivr.net/npm/chartjs-plugin-streaming@1.9.0"&gt;&lt;/script&gt;
  &lt;script src="https://unpkg.com/mqtt/dist/mqtt.min.js"&gt;&lt;/script&gt;
&lt;/head&gt;
&lt;body&gt;
  &lt;canvas id="myChart"&gt;&lt;/canvas&gt;
  &lt;script&gt;
    const client = mqtt.connect('ws://raspibroker.local:8081');
    const ctx = document.getElementById('myChart').getContext('2d');
    var chart = new Chart(ctx, {
      type: 'line',
      data: {
        datasets: &#91;{
          data: &#91;],
          label: 'X軸',
          borderColor: 'rgb(255, 0, 255)',
          backgroundColor: 'rgba(255, 255, 255, 0)',
          lineTension: 0,
        }, {
          data: &#91;],
          label: 'Y軸',
          borderColor: 'rgb(0, 255, 0)',
          backgroundColor: 'rgba(255, 255, 255, 0)',
          lineTension: 0,
        }, {
          data: &#91;],
          label: 'Z軸',
          borderColor: 'rgb(0, 0, 255)',
          backgroundColor: 'rgba(255, 255, 255, 0)',
          lineTension: 0,
        }]
      },
      options: {
        scales: {
          xAxes: &#91;{
            type: 'realtime',
            realtime: {
              delay: 2000,
            },
          }],
          yAxes: &#91;{
            ticks: {
              min: -32767,
              max: 32767
            }
          }]
        }
      }
    });
    client.on('connect', () =&gt; {
      console.log('connected');
      client.subscribe('home/seismometer1');
    });
    client.on('message', (topic, message) =&gt; {
      console.log(message.toString());
      acc_json = JSON.parse(message.toString());
      chart.data.datasets&#91;0].data.push({
        x: Date.now(),
        y: acc_json.AcX
      });
      chart.data.datasets&#91;1].data.push({
        x: Date.now(),
        y: acc_json.AcY
      });
      chart.data.datasets&#91;2].data.push({
        x: Date.now(),
        y: acc_json.AcZ - 16384
      });
      chart.update();
    });
  &lt;/script&gt;
&lt;/body&gt;
&lt;/html&gt;

<!DOCTYPE html>

<head>

<title>簡易地震計</title>

</head>

<body>

const client = mqtt.connect('ws://raspibroker.local:8081');

const ctx = document.getElementById('myChart').getContext('2d');

var chart = new Chart(ctx, {

type: 'line',

data: {

datasets: [{

data: [],

label: 'X軸',

borderColor: 'rgb(255, 0, 255)',

backgroundColor: 'rgba(255, 255, 255, 0)',

lineTension: 0,

}, {

data: [],

label: 'Y軸',

borderColor: 'rgb(0, 255, 0)',

backgroundColor: 'rgba(255, 255, 255, 0)',

lineTension: 0,

}, {

data: [],

label: 'Z軸',

borderColor: 'rgb(0, 0, 255)',

backgroundColor: 'rgba(255, 255, 255, 0)',

lineTension: 0,

}]

options: {

scales: {

xAxes: [{

type: 'realtime',

realtime: {

delay: 2000,

}],

yAxes: [{

ticks: {

min: -32767,

max: 32767

}

}]

}

});

client.on('connect', () => {

console.log('connected');

client.subscribe('home/seismometer1');

});

client.on('message', (topic, message) => {

console.log(message.toString());

acc_json = JSON.parse(message.toString());

chart.data.datasets[0].data.push({

x: Date.now(),

y: acc_json.AcX

});

chart.data.datasets[1].data.push({

x: Date.now(),

y: acc_json.AcY

});

chart.data.datasets[2].data.push({

x: Date.now(),

y: acc_json.AcZ - 16384

});

chart.update();

});

</script>

</body>

</html>