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 Berkemampuan MQTT, Gateway V3 untuk Edge AWS IoT SiteWise.
-
Plugin Docker Compose. Untuk langkah-langkah instalasi, lihat Menginstal Docker Compose plugin di
dokumentasi Manual Docker.
Menyebarkan layanan
Penerapan ini menjalankan SiteWise Edge, InfluxDB, Node-red, dan Grafana pada host yang sama.
Mengatur lingkungan
-
Dapatkan akses root:
sudo -i
-
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.
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
-
Arahkan ke AWS IoT konsol
-
Pilih perangkat Greengrass di menu navigasi kiri di bawah bagian Kelola, lalu Perangkat inti.
-
Pilih perangkat inti yang terhubung ke SiteWise Edge Gateway Anda.
-
Pilih tab Deployment, lalu pilih nilai ID Deployment.
-
Pilih Tindakan, lalu pilih Revisi.
-
Baca pesan pop up lalu pilih Revise Deployment.
-
Pada Langkah 2 - Pilih komponen, pilih komponen berikut dan kemudian pilih Berikutnya.
-
aws.greengrass.clientdevices.mqtt.EMQX
-
aws.iot.SiteWiseEdgePublisher
-
-
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" }
-
Pilih Berikutnya.
-
Di Langkah 4 - Konfigurasikan pengaturan lanjutan, pilih Berikutnya.
-
Pilih Deploy
Luncurkan layanan
-
Mulai layanan menggunakan file Docker Compose. Jalankan perintah berikut di bawah direktori yang berisi
compose.yaml
file.docker compose up -d
-
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 8086:127.0.0.1:8086username
@gateway_ip_address
Penerapan ini membuat layanan berikut diSiteWiseEdgeNodeRedDemoNetwork network
:
- InfluxDB v2 (port 8086)
-
Termasuk organisasi (iot-sitewise-edge), bucket WindFarmData InfluxDB, dan kredensyal 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.
Layanan | URL | Kredensial |
---|---|---|
Simpul-merah | http://127.0.0.1:1880 |
Tidak ada kredensi yang diperlukan |
InfluxDB | http://127.0.0.1:8086 |
Nama Pengguna: admin Kata sandi: $ INFLUXDB_PASSWORD |
Grafana | http://127.0.0.1:3000 |
Nama Pengguna: admin Kata sandi: $GRAFANA_PASSWORD |
Verifikasi penyebaran
Untuk memastikan penerapan Anda berhasil, lakukan pemeriksaan berikut:
-
Untuk Node-Red, verifikasi keberadaan dua aliran yang dimuat sebelumnya:
-
Aliran publikasi data
-
Aliran retensi data
-
-
Untuk AWS IoT SiteWise, di AWS IoT SiteWise konsol, konfirmasikan keberadaan aliran data dengan alias
/Renton/WindFarm/Turbine/WindSpeed
. -
Untuk InfluxDB, gunakan Data Explorer untuk memverifikasi penyimpanan data dalam
TurbineData
pengukuran di dalam bucket.WindFarmData
-
Untuk Grafana, lihat dasbor untuk mengonfirmasi tampilan data deret waktu yang dihasilkan dari Node-merah.