143 lines
4.1 KiB
JSON
143 lines
4.1 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": 0,
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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)",
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"type": "timeseries",
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"datasource": {
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"type": "influxdb",
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"uid": "influxdb-smartcity"
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},
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"targets": [
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{
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"query": "from(bucket:\"smartcity\") |> range(start: v.timeRangeStart, stop:v.timeRangeStop) |> filter(fn: (r) => r[\"_measurement\"] == \"airquality\") |> filter(fn: (r) => r[\"_field\"] == \"pm25_ugm3\") |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false) |> yield(name: \"mean\")"
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}
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],
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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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},
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{
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"title": "Traffic Flow (Vehicles)",
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"type": "timeseries",
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"datasource": {
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"type": "influxdb",
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"uid": "influxdb-smartcity"
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},
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"targets": [
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{
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"query": "from(bucket:\"smartcity\") |> range(start: v.timeRangeStart, stop:v.timeRangeStop) |> filter(fn: (r) => r[\"_measurement\"] == \"traffic\") |> filter(fn: (r) => r[\"_field\"] == \"vehicle_count\") |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false) |> yield(name: \"mean\")"
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}
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],
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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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},
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{
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"title": "Parking Occupancy (%)",
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"type": "timeseries",
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"datasource": {
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"type": "influxdb",
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"uid": "influxdb-smartcity"
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},
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"targets": [
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{
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"query": "from(bucket:\"smartcity\") |> range(start: v.timeRangeStart, stop:v.timeRangeStop) |> filter(fn: (r) => r[\"_measurement\"] == \"parking\") |> filter(fn: (r) => r[\"_field\"] == \"occupancy_percent\") |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false) |> yield(name: \"mean\")"
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}
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],
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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": 8
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}
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},
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{
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"title": "Noise Levels (dB)",
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"type": "timeseries",
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"datasource": {
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"type": "influxdb",
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"uid": "influxdb-smartcity"
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},
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"targets": [
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{
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"query": "from(bucket:\"smartcity\") |> range(start: v.timeRangeStart, stop:v.timeRangeStop) |> filter(fn: (r) => r[\"_measurement\"] == \"noise\") |> filter(fn: (r) => r[\"_field\"] == \"noise_level_db\") |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false) |> yield(name: \"mean\")"
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}
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],
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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": 8
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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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"datasource": {
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"type": "influxdb",
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"uid": "influxdb-smartcity"
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},
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"targets": [
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{
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"query": "from(bucket:\"smartcity\") |> range(start: v.timeRangeStart, stop:v.timeRangeStop) |> filter(fn: (r) => r[\"_measurement\"] == \"weather\") |> filter(fn: (r) => r[\"_field\"] == \"temperature_c\") |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false) |> yield(name: \"mean\")"
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}
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],
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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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},
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{
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"title": "Light Levels",
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"type": "timeseries",
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"datasource": {
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"type": "influxdb",
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"uid": "influxdb-smartcity"
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},
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"targets": [
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{
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"query": "from(bucket:\"smartcity\") |> range(start: v.timeRangeStart, stop:v.timeRangeStop) |> filter(fn: (r) => r[\"_measurement\"] == \"light\") |> filter(fn: (r) => r[\"_field\"] == \"luminosity\") |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false) |> yield(name: \"mean\")"
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}
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],
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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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}
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],
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"schemaVersion": 36,
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"style": "dark",
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"tags": [
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"smartcity",
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"martinique",
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"iot"
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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",
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"uid": "smartcity-martinique-v2",
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"version": 1
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} |