Terjemahan disediakan oleh mesin penerjemah. Jika konten terjemahan yang diberikan bertentangan dengan versi bahasa Inggris aslinya, utamakan versi bahasa Inggris.
# Siapkan integrasi sumber terbuka dengan Docker (Linux)
Untuk proses penyebaran yang efisien, Anda dapat menggunakan Docker untuk menyiapkan Node-Red®, InfluxDB®, dan Grafana® di lingkungan Linux. Metode ini menggunakan kontainer yang telah dikonfigurasi sebelumnya, memungkinkan penyebaran cepat dan pengelolaan komponen yang lebih mudah.
## Prasyarat pengaturan Docker
Sebelum Anda mulai, verifikasi yang memiliki yang berikut:
+ Gateway V3 berkemampuan MQTT. Untuk informasi selengkapnya, lihat [Gateway V3 berkemampuan MQTT untuk Edge AWS IoT SiteWise](mqtt-enabled-v3-gateway.md).
+ Plugin Docker Compose. Untuk langkah-langkah instalasi, lihat [Menginstal Docker Compose plugin di](https://docs.docker.com/compose/install/linux/) dokumentasi Manual *Docker*.
## Menyebarkan layanan
Penerapan ini menjalankan SiteWise Edge, InfluxDB, Node-red, dan Grafana pada host yang sama.
### Mengatur lingkungan
1. Dapatkan akses root:
```
sudo -i
```
1. Buat file.env atau ekspor variabel lingkungan ini:
```
export INFLUXDB_PASSWORD=your-secure-influxdb-password
export INFLUXDB_TOKEN=your-secure-influxdb-token
export GRAFANA_PASSWORD=your-secure-grafana-password
```
### Konfigurasikan jaringan Docker
+ Buat jaringan jembatan menggunakan nama`SiteWiseEdgeNodeRedDemoNetwork`.
```
docker network create --driver=bridge SiteWiseEdgeNodeRedDemoNetwork
```
### Siapkan Docker Compose file
Salin konten file YAMM berikut ke perangkat gateway SiteWise Edge Anda.
#### Perluas untuk melihat contoh file Docker Compose YAMM
```
services:
influxdb:
image: influxdb:latest
container_name: influxdb
ports:
- "127.0.0.1:8086:8086"
volumes:
- influxdb-storage:/.influxdbv2
environment:
- DOCKER_INFLUXDB_INIT_MODE=setup
- DOCKER_INFLUXDB_INIT_USERNAME=admin
- DOCKER_INFLUXDB_INIT_PASSWORD=${INFLUXDB_PASSWORD}
- DOCKER_INFLUXDB_INIT_ORG=iot-sitewise-edge
- DOCKER_INFLUXDB_INIT_BUCKET=WindFarmData
- DOCKER_INFLUXDB_INIT_RETENTION=0
- DOCKER_INFLUXDB_INIT_ADMIN_TOKEN=${INFLUXDB_TOKEN}
networks:
- SiteWiseEdgeNodeRedDemoNetwork
restart: unless-stopped
grafana:
image: grafana/grafana:latest
container_name: grafana
ports:
- "127.0.0.1:3000:3000"
volumes:
- grafana-storage:/var/lib/grafana
- ./grafana/provisioning:/etc/grafana/provisioning
environment:
- GF_SECURITY_ADMIN_USER=admin
- GF_SECURITY_ADMIN_PASSWORD=${GRAFANA_PASSWORD}
- GF_INSTALL_PLUGINS=grafana-clock-panel,grafana-simple-json-datasource
- GF_PATHS_PROVISIONING=/etc/grafana/provisioning
- GF_PATHS_CONFIG=/etc/grafana/grafana.ini
- GF_LOG_LEVEL=info
configs:
- source: grafana_datasource
target: /etc/grafana/provisioning/datasources/influxdb.yaml
- source: grafana_preload_dashboard_config
target: /etc/grafana/provisioning/dashboards/dashboard.yml
- source: grafana_preload_dashboard
target: /etc/grafana/provisioning/dashboards/demo_dashboard.json
depends_on:
- influxdb
networks:
- SiteWiseEdgeNodeRedDemoNetwork
restart: unless-stopped
nodered:
build:
context: .
dockerfile_inline: |
FROM nodered/node-red:latest
RUN npm install node-red-contrib-influxdb
container_name: nodered
ports:
- "127.0.0.1:1880:1880"
volumes:
- node_red_data:/data
environment:
- NODE_RED_ENABLE_SAFE_MODE=false
- NODE_RED_ENABLE_PALETTE_EDIT=true
- NODE_RED_AUTO_INSTALL_MODULES=true
configs:
- source: nodered_flows
target: /data/flows.json
- source: nodered_settings
target: /data/settings.js
- source: nodered_flows_cred
target: /data/flows_cred.json
depends_on:
- influxdb
networks:
- SiteWiseEdgeNodeRedDemoNetwork
restart: unless-stopped
volumes:
influxdb-storage:
grafana-storage:
node_red_data:
networks:
SiteWiseEdgeNodeRedDemoNetwork:
external: true
configs:
grafana_datasource:
content: |
apiVersion: 1
datasources:
- name: windfarm-demo
type: influxdb
access: proxy
url: http://influxdb:8086
jsonData:
version: Flux
organization: iot-sitewise-edge
defaultBucket: WindFarmData
tlsSkipVerify: true
secureJsonData:
token: ${INFLUXDB_TOKEN}
editable: false
grafana_preload_dashboard_config:
content: |
apiVersion: 1
providers:
- name: "Dashboard provider"
orgId: 1
type: file
options:
path: /etc/grafana/provisioning/dashboards
grafana_preload_dashboard:
content: |
{
"annotations": {
"list": [
{
"builtIn": 1,
"datasource": {
"type": "grafana",
"uid": "-- Grafana --"
},
"enable": true,
"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"name": "Annotations & Alerts",
"type": "dashboard"
}
]
},
"editable": true,
"fiscalYearStartMonth": 0,
"graphTooltip": 0,
"id": 1,
"links": [],
"panels": [
{
"datasource": {
"type": "influxdb",
"uid": "PEB0DCBF338B3CEB2"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisBorderShow": false,
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"barWidthFactor": 0.6,
"drawStyle": "line",
"fillOpacity": 0,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"insertNulls": false,
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 0
},
"id": 1,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"hideZeros": false,
"mode": "single",
"sort": "none"
}
},
"pluginVersion": "11.6.0",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "PEB0DCBF338B3CEB2"
},
"query": "from(bucket: \"WindFarmData\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"TurbineData\")\n |> filter(fn: (r) => r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r[\"name\"] == \"/Renton/WindFarm/Turbine/WindSpeed\")\n |> filter(fn: (r) => r[\"quality\"] == \"GOOD\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")",
"refId": "A"
}
],
"title": "Wind Speed",
"type": "timeseries"
}
],
"preload": false,
"schemaVersion": 41,
"tags": [],
"templating": {
"list": []
},
"time": {
"from": "now-6h",
"to": "now"
},
"timepicker": {},
"timezone": "browser",
"title": "Demo Dashboard",
"uid": "eejtureqjo9a8c",
"version": 2
}
nodered_flows:
content: |
[
{
"id": "95fce448fdd43b47",
"type": "tab",
"label": "Demo Flow",
"disabled": false,
"info": ""
},
{
"id": "5f63740b66af3386",
"type": "mqtt out",
"z": "95fce448fdd43b47",
"name": "Publish to MQTT broker",
"topic": "/Renton/WindFarm/Turbine/WindSpeed",
"qos": "1",
"retain": "",
"respTopic": "",
"contentType": "",
"userProps": "",
"correl": "",
"expiry": "",
"broker": "5744207557fa19be",
"x": 830,
"y": 200,
"wires": []
},
{
"id": "8f2eb590d596679b",
"type": "function",
"z": "95fce448fdd43b47",
"name": "Translate to SiteWise payload",
"func": "let input = msg.payload;\nlet output = {};\n\noutput[\"propertyAlias\"] = input.name;\n\nlet propertyVal = {}\n\nlet timeInSeconds = Math.floor(input.timestamp / 1000);\nlet offsetInNanos = (input.timestamp % 1000) * 1000000;\n\npropertyVal[\"timestamp\"] = {\n \"timeInSeconds\": timeInSeconds,\n \"offsetInNanos\": offsetInNanos,\n};\n\npropertyVal[\"quality\"] = input.quality\n\nlet typeNameConverter = {\n \"number\": (x) => Number.isInteger(x) ? \"integerValue\" : \"doubleValue\",\n \"boolean\": (x) => \"booleanValue\",\n \"string\": (x) => \"stringValue\", \n}\nlet typeName = typeNameConverter[typeof input.value](input.value)\npropertyVal[\"value\"] = {}\npropertyVal[\"value\"][typeName] = input.value;\n\noutput[\"propertyValues\"] = [propertyVal]\n\nreturn {\n payload: JSON.stringify(output)\n};",
"outputs": 1,
"timeout": "",
"noerr": 0,
"initialize": "",
"finalize": "",
"libs": [],
"x": 530,
"y": 200,
"wires": [
[
"5f63740b66af3386"
]
]
},
{
"id": "4b78cbdea5e3258c",
"type": "inject",
"z": "95fce448fdd43b47",
"name": "Turbine Simulator",
"props": [
{
"p": "payload.timestamp",
"v": "",
"vt": "date"
},
{
"p": "payload.quality",
"v": "GOOD",
"vt": "str"
},
{
"p": "payload.value",
"v": "$$random()",
"vt": "jsonata"
},
{
"p": "payload.name",
"v": "/Renton/WindFarm/Turbine/WindSpeed",
"vt": "str"
}
],
"repeat": "1",
"crontab": "",
"once": false,
"onceDelay": "",
"topic": "",
"x": 270,
"y": 200,
"wires": [
[
"8f2eb590d596679b"
]
]
},
{
"id": "b658bf337ea2e316",
"type": "influxdb out",
"z": "95fce448fdd43b47",
"influxdb": "2f1c38495035d2e4",
"name": "Store data in InfluxDB",
"measurement": "TurbineData",
"precision": "",
"retentionPolicy": "",
"database": "",
"retentionPolicyV18Flux": "",
"org": "iot-sitewise-edge",
"bucket": "WindFarmData",
"x": 840,
"y": 340,
"wires": []
},
{
"id": "9432d39af35b202f",
"type": "function",
"z": "95fce448fdd43b47",
"name": "Translate to InfluxDB payload",
"func": "let data = msg.payload;\n\nlet timeInSeconds = data.propertyValues[0].timestamp.timeInSeconds;\nlet offsetInNanos = data.propertyValues[0].timestamp.offsetInNanos;\nlet timestampInMilliseconds = (timeInSeconds * 1000) + (offsetInNanos / 1000000);\n\nmsg.payload = [\n {\n \"timestamp(milliseconds_since_epoch)\": timestampInMilliseconds,\n \"value\": data.propertyValues[0].value.doubleValue\n },\n {\n \"name\": data.propertyAlias,\n \"quality\": data.propertyValues[0].quality\n }\n]\n\nreturn msg",
"outputs": 1,
"timeout": "",
"noerr": 0,
"initialize": "",
"finalize": "",
"libs": [],
"x": 560,
"y": 340,
"wires": [
[
"b658bf337ea2e316"
]
]
},
{
"id": "b689403d2c80816b",
"type": "mqtt in",
"z": "95fce448fdd43b47",
"name": "Subscribe to MQTT broker",
"topic": "/Renton/WindFarm/Turbine/WindSpeed",
"qos": "1",
"datatype": "auto-detect",
"broker": "5744207557fa19be",
"nl": false,
"rap": true,
"rh": 0,
"inputs": 0,
"x": 290,
"y": 340,
"wires": [
[
"9432d39af35b202f"
]
]
},
{
"id": "4f59bed8e829fc35",
"type": "comment",
"z": "95fce448fdd43b47",
"name": "Data Publish Flow",
"info": "dfgh",
"x": 270,
"y": 160,
"wires": []
},
{
"id": "b218c7fc58c8b6e7",
"type": "comment",
"z": "95fce448fdd43b47",
"name": "Data Retention flow",
"info": "",
"x": 270,
"y": 300,
"wires": []
},
{
"id": "5744207557fa19be",
"type": "mqtt-broker",
"name": "emqx",
"broker": "emqx",
"port": "1883",
"clientid": "",
"autoConnect": true,
"usetls": false,
"protocolVersion": "5",
"keepalive": 15,
"cleansession": true,
"autoUnsubscribe": true,
"birthTopic": "",
"birthQos": "0",
"birthPayload": "",
"birthMsg": {},
"closeTopic": "",
"closePayload": "",
"closeMsg": {},
"willTopic": "",
"willQos": "0",
"willPayload": "",
"willMsg": {},
"userProps": "",
"sessionExpiry": ""
},
{
"id": "2f1c38495035d2e4",
"type": "influxdb",
"hostname": "influxdb",
"port": 8086,
"protocol": "http",
"database": "",
"name": "InfluxDB",
"usetls": false,
"tls": "",
"influxdbVersion": "2.0",
"url": "http://influxdb:8086",
"timeout": "",
"rejectUnauthorized": false
}
]
nodered_flows_cred:
content: |
{
"2f1c38495035d2e4": {
"token": "${INFLUXDB_TOKEN}"
}
}
nodered_settings:
content: |
module.exports = {
flowFile: 'flows.json',
credentialSecret: false,
adminAuth: null,
editorTheme: {
projects: {
enabled: false
}
}
}
```
### Perbarui penerapan SiteWise Edge
1. Arahkan ke [AWS IoT konsol](https://console.aws.amazon.com/iot/)
1. **Pilih perangkat **Greengrass** di menu navigasi kiri di bawah bagian Kelola, lalu Perangkat **inti**.**
1. Pilih perangkat inti yang terhubung ke SiteWise Edge Gateway Anda.
1. Pilih tab **Deployment**, lalu pilih nilai ID **Deployment**.
1. Pilih **Tindakan**, lalu pilih **Revisi**.
1. Baca pesan pop up lalu pilih **Revise Deployment**.
1. Pada **Langkah 2 - Pilih komponen**, pilih komponen berikut dan kemudian pilih **Berikutnya**.
+ `aws.greengrass.clientdevices.mqtt.EMQX`
+ `aws.iot.SiteWiseEdgePublisher`
1. Pada **Langkah 3 - Konfigurasikan komponen**, pilih nilai `aws.greengrass.clientdevices.mqtt.EMQX` komponen dan tambahkan konfigurasi jaringan berikut:
```
{
"emqxConfig": {
"authorization": {
"no_match": "allow"
},
"listeners": {
"tcp": {
"default": {
"enabled": true,
"enable_authn": false
}
}
}
},
"authMode": "bypass",
"dockerOptions": "-p 127.0.0.1:1883:1883 --network=SiteWiseEdgeNodeRedDemoNetwork",
"requiresPrivilege": "true"
}
```
1. Pilih **Berikutnya**.
1. Di **Langkah 4 - Konfigurasikan pengaturan lanjutan**, pilih **Berikutnya**.
1. Pilih **Deploy**
### Luncurkan layanan
1. Mulai layanan menggunakan file Docker Compose. Jalankan perintah berikut di bawah direktori yang berisi `compose.yaml` file.
```
docker compose up -d
```
1. Buat terowongan SSH untuk mengakses layanan:
```
ssh -i path_to_your_ssh_key -L 1880:127.0.0.1:1880 -L 3000:127.0.0.1:3000 -L 8086:127.0.0.1:8086 username@gateway_ip_address
```
Penerapan ini membuat layanan berikut di`SiteWiseEdgeNodeRedDemoNetwork network`:
**InfluxDB v2 (port 8086)**
Termasuk organisasi (iot-sitewise-edge), bucket WindFarmData InfluxDB, dan kredenal admin yang telah dikonfigurasi sebelumnya
**Node-merah (port 1880)**
Termasuk node InfluxDB dan alur pra-konfigurasi untuk integrasi AWS IoT SiteWise
**Grafana (port 3000)**
Termasuk pengguna admin, sumber data InfluxDB, dan dasbor pemantauan
### Akses layanan
Setelah penerapan, akses layanan menggunakan yang berikut URLs dan kredensyal:
**catatan**
Anda dapat mengakses setiap layanan dari host Anda atau mesin gateway.
**Detail akses layanan**
| Layanan | URL | Kredensial |
| --- | --- | --- |
| Simpul-merah | [http://127.0.0.1:1880](http://127.0.0.1:1880) | Tidak ada kredensi yang diperlukan |
| InfluxDB | [http://127.0.0.1:8086](http://127.0.0.1:8086) | Nama Pengguna: admin Kata sandi: \$1 INFLUXDB\$1PASSWORD |
| Grafana | [http://127.0.0.1:3000](http://127.0.0.1:3000) | Nama Pengguna: admin Kata sandi: \$1GRAFANA\$1PASSWORD |
## Verifikasi penyebaran
Untuk memastikan penerapan Anda berhasil, lakukan pemeriksaan berikut:
1. Untuk Node-Red, verifikasi keberadaan dua aliran yang dimuat sebelumnya:
+ Aliran publikasi data
+ Aliran retensi data
1. Untuk AWS IoT SiteWise, di AWS IoT SiteWise konsol, konfirmasikan keberadaan aliran data dengan alias`/Renton/WindFarm/Turbine/WindSpeed`.
1. Untuk InfluxDB, gunakan Data Explorer untuk memverifikasi penyimpanan data dalam `TurbineData` pengukuran di dalam bucket. `WindFarmData`
1. Untuk Grafana, lihat dasbor untuk mengonfirmasi tampilan data deret waktu yang dihasilkan dari Node-merah.