dfaa240d5a
- Correction simulateur: nettoyage code FIWARE (erreurs syntaxe) - Grafana: dashboard complet 10 panneaux sur grafana.digitribe.fr - InfluxDB: datasource corrigée (bucket smartcity, org digitribe) - Nettoyage: suppression services FIWARE (Orion-LD, Stellio, QuantumLeap) - Pipeline validé: Simulator → 3 MQTT brokers → Telegraf → InfluxDB → Grafana - Dashboard URL: https://grafana.digitribe.fr/d/smartcity-martinique-complete/ Architecture simplifiée: - 3 MQTT brokers (EMQX, Mosquitto, BunkerM) - Telegraf pour agrégation - InfluxDB pour stockage time-series - Grafana pour visualisation (Traefik: grafana.digitribe.fr)
377 lines
10 KiB
JSON
377 lines
10 KiB
JSON
{
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"annotations": {
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"list": []
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},
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"editable": true,
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"fiscalYearStartMonth": 0,
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"graphTooltip": 1,
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"id": null,
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"links": [],
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"panels": [
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{
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"title": "Air Quality - PM2.5 (\u00b5g/m\u00b3)",
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"type": "timeseries",
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"gridPos": {
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"h": 8,
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"w": 12,
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"x": 0,
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"y": 0
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},
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"datasource": {
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"type": "influxdb",
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"uid": "dd1bfc24-de9d-4c23-8a3c-151d153f8169"
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},
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"targets": [
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{
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"query": "from(bucket:\"smartcity\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"airquality\")\n |> filter(fn: (r) => r[\"_field\"] == \"pm25_ugm3\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"PM2.5\")",
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"refId": "A"
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}
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],
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"fieldConfig": {
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"defaults": {
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"unit": "\u00b5g/m\u00b3",
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"thresholds": {
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"mode": "absolute",
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"steps": [
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{
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"color": "green",
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"value": null
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},
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{
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"color": "yellow",
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"value": 25
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},
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{
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"color": "orange",
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"value": 50
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},
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{
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"color": "red",
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"value": 100
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}
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]
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}
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}
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}
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},
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{
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"title": "Air Quality - CO (mg/m\u00b3)",
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"type": "timeseries",
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"gridPos": {
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"h": 8,
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"w": 12,
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"x": 12,
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"y": 0
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},
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"datasource": {
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"type": "influxdb",
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"uid": "dd1bfc24-de9d-4c23-8a3c-151d153f8169"
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},
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"targets": [
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{
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"query": "from(bucket:\"smartcity\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"airquality\")\n |> filter(fn: (r) => r[\"_field\"] == \"co_mgm3\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"CO\")",
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"refId": "A"
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}
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],
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"fieldConfig": {
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"defaults": {
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"unit": "mg/m\u00b3",
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"thresholds": {
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"mode": "absolute",
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"steps": [
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{
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"color": "green",
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"value": null
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},
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{
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"color": "yellow",
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"value": 5
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},
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{
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"color": "red",
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"value": 15
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}
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]
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}
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}
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}
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},
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{
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"title": "Traffic - Average Speed (km/h)",
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"type": "timeseries",
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"gridPos": {
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"h": 8,
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"w": 12,
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"x": 0,
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"y": 16
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},
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"datasource": {
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"type": "influxdb",
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"uid": "dd1bfc24-de9d-4c23-8a3c-151d153f8169"
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},
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"targets": [
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{
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"query": "from(bucket:\"smartcity\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"traffic\")\n |> filter(fn: (r) => r[\"_field\"] == \"average_speed_kmh\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"Speed\")",
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"refId": "A"
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}
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],
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"fieldConfig": {
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"defaults": {
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"unit": "km/h",
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"thresholds": {
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"mode": "absolute",
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"steps": [
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{
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"color": "red",
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"value": null
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},
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{
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"color": "yellow",
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"value": 20
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},
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{
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"color": "green",
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"value": 40
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}
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]
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}
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}
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}
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},
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{
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"title": "Traffic - Congestion Level",
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"type": "timeseries",
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"gridPos": {
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"h": 8,
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"w": 12,
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"x": 12,
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"y": 16
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},
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"datasource": {
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"type": "influxdb",
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"uid": "dd1bfc24-de9d-4c23-8a3c-151d153f8169"
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},
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"targets": [
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{
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"query": "from(bucket:\"smartcity\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"traffic\")\n |> filter(fn: (r) => r[\"_field\"] == \"congestion_level\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"Congestion\")",
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"refId": "A"
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}
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],
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"fieldConfig": {
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"defaults": {
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"unit": "",
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"min": 0,
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"max": 1,
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"thresholds": {
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"mode": "absolute",
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"steps": [
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{
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"color": "green",
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"value": null
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},
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{
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"color": "yellow",
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"value": 0.5
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},
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{
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"color": "red",
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"value": 0.8
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}
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]
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}
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}
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}
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},
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{
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"title": "Parking - Available Spots",
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"type": "timeseries",
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"gridPos": {
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"h": 8,
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"w": 12,
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"x": 0,
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"y": 32
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},
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"datasource": {
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"type": "influxdb",
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"uid": "dd1bfc24-de9d-4c23-8a3c-151d153f8169"
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},
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"targets": [
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{
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"query": "from(bucket:\"smartcity\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"parking\")\n |> filter(fn: (r) => r[\"_field\"] == \"available_spots\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"Available\")",
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"refId": "A"
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}
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],
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"fieldConfig": {
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"defaults": {
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"unit": "spots"
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}
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}
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},
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{
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"title": "Parking - Occupancy (%)",
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"type": "timeseries",
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"gridPos": {
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"h": 8,
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"w": 12,
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"x": 12,
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"y": 32
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},
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"datasource": {
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"type": "influxdb",
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"uid": "dd1bfc24-de9d-4c23-8a3c-151d153f8169"
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},
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"targets": [
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{
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"query": "from(bucket:\"smartcity\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"parking\")\n |> filter(fn: (r) => r[\"_field\"] == \"occupancy_percent\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"Occupancy\")",
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"refId": "A"
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}
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],
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"fieldConfig": {
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"defaults": {
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"unit": "percent",
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"min": 0,
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"max": 100
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}
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}
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},
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{
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"title": "Noise Level (dB)",
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"type": "timeseries",
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"gridPos": {
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"h": 8,
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"w": 12,
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"x": 0,
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"y": 48
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},
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"datasource": {
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"type": "influxdb",
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"uid": "dd1bfc24-de9d-4c23-8a3c-151d153f8169"
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},
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"targets": [
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{
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"query": "from(bucket:\"smartcity\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"noise\")\n |> filter(fn: (r) => r[\"_field\"] == \"noise_level_db\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"Noise\")",
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"refId": "A"
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}
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],
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"fieldConfig": {
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"defaults": {
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"unit": "dB",
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"thresholds": {
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"mode": "absolute",
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"steps": [
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{
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"color": "green",
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"value": null
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},
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{
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"color": "yellow",
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"value": 65
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},
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{
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"color": "orange",
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"value": 80
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},
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{
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"color": "red",
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"value": 95
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}
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]
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}
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}
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}
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},
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{
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"title": "Weather - Temperature (\u00b0C)",
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"type": "timeseries",
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"gridPos": {
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"h": 8,
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"w": 12,
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"x": 12,
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"y": 48
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},
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"datasource": {
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"type": "influxdb",
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"uid": "dd1bfc24-de9d-4c23-8a3c-151d153f8169"
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},
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"targets": [
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{
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"query": "from(bucket:\"smartcity\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"weather\")\n |> filter(fn: (r) => r[\"_field\"] == \"temperature_celsius\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"Temperature\")",
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"refId": "A"
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}
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],
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"fieldConfig": {
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"defaults": {
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"unit": "\u00b0C"
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}
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}
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},
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{
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"title": "Light - Brightness (lux)",
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"type": "timeseries",
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"gridPos": {
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"h": 8,
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"w": 12,
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"x": 0,
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"y": 64
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},
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"datasource": {
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"type": "influxdb",
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"uid": "dd1bfc24-de9d-4c23-8a3c-151d153f8169"
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},
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"targets": [
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{
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"query": "from(bucket:\"smartcity\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"light\")\n |> filter(fn: (r) => r[\"_field\"] == \"brightness_lux\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"Brightness\")",
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"refId": "A"
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}
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],
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"fieldConfig": {
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"defaults": {
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"unit": "lux"
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}
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}
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},
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{
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"title": "Light - Power Consumption (W)",
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"type": "timeseries",
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"gridPos": {
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"h": 8,
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"w": 12,
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"x": 12,
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"y": 64
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},
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"datasource": {
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"type": "influxdb",
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"uid": "dd1bfc24-de9d-4c23-8a3c-151d153f8169"
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},
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"targets": [
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{
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"query": "from(bucket:\"smartcity\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"light\")\n |> filter(fn: (r) => r[\"_field\"] == \"power_consumption_w\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"Power\")",
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"refId": "A"
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}
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],
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"fieldConfig": {
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"defaults": {
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"unit": "W"
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}
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}
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}
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],
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"schemaVersion": 38,
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"style": "dark",
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"tags": [
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"smart-city",
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"martinique",
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"iot",
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"complete"
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],
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"templating": {
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"list": []
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},
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"time": {
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"from": "now-1h",
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"to": "now"
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},
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"title": "Smart City Digital Twin - Martinique (COMPLET)",
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"uid": "smartcity-martinique-complete",
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"version": 1
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} |