2609 lines
81 KiB
JSON
2609 lines
81 KiB
JSON
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{
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"datasource": {
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"type": "influxdb",
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"uid": "cdzg44tv250jkd"
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},
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"query": "from(bucket: \"${bucket}\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) =>\n (r._measurement == \"mG2\" or r._measurement == \"mG1\") and \n r._field == \"downstream_predicted_flow\"\n )\n |> last()\n // Add a constant key so that both records share the same pivot key\n |> map(fn: (r) => ({ r with pivotKey: \"last\" }))\n // Drop _time to ensure both records are combined in the pivot\n |> drop(columns: [\"_time\"])\n |> group(columns: [\"pivotKey\"])\n // Pivot using the constant key, so that both mG2 and mG1 values appear in one row\n |> pivot(rowKey: [\"pivotKey\"], columnKey: [\"_measurement\"], valueColumn: \"_value\")\n // Compute the difference: mG2 minus mG1\n |> map(fn: (r) => ({ r with diff: r.mG1 - r.mG2 }))\n |> keep(columns: [\"diff\"])\n |> yield(name: \"difference\")",
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"refId": "A"
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}
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],
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"title": "Realtime flow verschil",
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{
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"id": "calculateField",
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"left": "upstream_predicted_power {geoLocation=\"undefined\", id=\"eb9bc2362e755b9e\", model=\"undefined\", name=\"mG1\", role=\"GroupController\", softwareType=\"machineGroup\", subType=\"undefined\", supplier=\"undefined\", type=\"undefined\", unit=\"undefined\", uuid=\"undefined\"}",
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{
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"default": true,
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"type": "influxdb",
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"uid": "cdzg44tv250jkd"
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{
|
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"color": "green",
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{
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"color": "#EAB839",
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"value": 100
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{
|
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"color": "red",
|
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"value": 180
|
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}
|
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]
|
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},
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"unit": "kwatt"
|
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},
|
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"overrides": []
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},
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"gridPos": {
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"h": 7,
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"w": 5,
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"x": 4,
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"y": 17
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},
|
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"id": 29,
|
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"options": {
|
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"minVizHeight": 75,
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"minVizWidth": 75,
|
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"orientation": "auto",
|
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"reduceOptions": {
|
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"calcs": [
|
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"lastNotNull"
|
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],
|
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"fields": "",
|
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"values": false
|
|
},
|
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"showThresholdLabels": false,
|
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"showThresholdMarkers": true,
|
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"sizing": "auto"
|
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},
|
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"pluginVersion": "11.2.0",
|
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"targets": [
|
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{
|
|
"datasource": {
|
|
"type": "influxdb",
|
|
"uid": "cdzg44tv250jkd"
|
|
},
|
|
"query": "from(bucket: \"${bucket}\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) =>\n (r._measurement == \"mG2\" or r._measurement == \"mG1\") and \n r._field == \"upstream_predicted_power\"\n )\n |> last()\n // Add a constant key so that both records share the same pivot key\n |> map(fn: (r) => ({ r with pivotKey: \"last\" }))\n // Drop _time to ensure both records are combined in the pivot\n |> drop(columns: [\"_time\"])\n |> group(columns: [\"pivotKey\"])\n // Pivot using the constant key, so that both mG2 and mG1 values appear in one row\n |> pivot(rowKey: [\"pivotKey\"], columnKey: [\"_measurement\"], valueColumn: \"_value\")\n // Compute the difference: mG2 minus mG1\n |> map(fn: (r) => ({ r with diff: r.mG1 - r.mG2 }))\n |> keep(columns: [\"diff\"])\n |> yield(name: \"difference\")\n",
|
|
"refId": "A"
|
|
}
|
|
],
|
|
"title": "Realtime power verschil",
|
|
"type": "gauge"
|
|
},
|
|
{
|
|
"datasource": {
|
|
"default": true,
|
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"type": "influxdb",
|
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"uid": "cdzg44tv250jkd"
|
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},
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"description": "",
|
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"fieldConfig": {
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"mode": "thresholds"
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},
|
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"decimals": 2,
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"mappings": [],
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"min": 0,
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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": "#EAB839",
|
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"value": 20
|
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},
|
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{
|
|
"color": "red",
|
|
"value": 50
|
|
}
|
|
]
|
|
},
|
|
"unit": "Euro (€) / h"
|
|
},
|
|
"overrides": [
|
|
{
|
|
"__systemRef": "hideSeriesFrom",
|
|
"matcher": {
|
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"id": "byNames",
|
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"options": {
|
|
"mode": "exclude",
|
|
"names": [
|
|
"diff upstream_predicted_power"
|
|
],
|
|
"prefix": "All except:",
|
|
"readOnly": true
|
|
}
|
|
},
|
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"properties": []
|
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}
|
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]
|
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},
|
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"gridPos": {
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"h": 7,
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"w": 5,
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"x": 9,
|
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"y": 17
|
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},
|
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"id": 26,
|
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"options": {
|
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"colorMode": "value",
|
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"graphMode": "area",
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"justifyMode": "auto",
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"orientation": "auto",
|
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"percentChangeColorMode": "standard",
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"reduceOptions": {
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"calcs": [
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"lastNotNull"
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|
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"fields": "",
|
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"values": false
|
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},
|
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"showPercentChange": false,
|
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"textMode": "auto",
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"wideLayout": true
|
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},
|
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"pluginVersion": "11.2.0",
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"targets": [
|
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{
|
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"datasource": {
|
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"type": "influxdb",
|
|
"uid": "cdzg44tv250jkd"
|
|
},
|
|
"query": "mG1 = from(bucket: \"${bucket}\")\n |> range(start: -90m, stop: now())\n |> filter(fn: (r) => r._measurement == \"mG1\" and r._field == \"upstream_predicted_power\")\n |> last()\n |> map(fn: (r) => ({\n _time: now(), // set a common timestamp\n joinKey: \"last\", // add a constant key for joining\n mG1_Cost: float(v: r._value) * 0.25\n }))\n\nmG2 = from(bucket: \"${bucket}\")\n |> range(start: -90m, stop: now())\n |> filter(fn: (r) => r._measurement == \"mG2\" and r._field == \"upstream_predicted_power\")\n |> last()\n |> map(fn: (r) => ({\n _time: now(), // set the same common timestamp\n joinKey: \"last\", // add the constant key for joining\n mG2_Cost: float(v: r._value) * 0.25\n }))\n\njoin(\n tables: {mG1: mG1, mG2: mG2},\n on: [\"joinKey\"],\n method: \"inner\"\n)\n |> map(fn: (r) => ({\n _time: r._time,\n diff: r.mG1_Cost - r.mG2_Cost\n }))\n |> yield(name: \"diff\")",
|
|
"refId": "A"
|
|
}
|
|
],
|
|
"title": "Realtime verschil",
|
|
"type": "stat"
|
|
},
|
|
{
|
|
"datasource": {
|
|
"default": true,
|
|
"type": "influxdb",
|
|
"uid": "cdzg44tv250jkd"
|
|
},
|
|
"description": "Over een tijdsperiode van 1 uur het rollend gemiddelde in euro/h",
|
|
"fieldConfig": {
|
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"defaults": {
|
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"color": {
|
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"mode": "thresholds"
|
|
},
|
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"decimals": 2,
|
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"mappings": [],
|
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"min": 0,
|
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"thresholds": {
|
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"mode": "absolute",
|
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"steps": [
|
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{
|
|
"color": "green",
|
|
"value": null
|
|
}
|
|
]
|
|
},
|
|
"unit": "Euro (€) / h"
|
|
},
|
|
"overrides": []
|
|
},
|
|
"gridPos": {
|
|
"h": 7,
|
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"w": 8,
|
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"x": 14,
|
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"y": 17
|
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},
|
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"id": 32,
|
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"options": {
|
|
"colorMode": "value",
|
|
"graphMode": "area",
|
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"justifyMode": "auto",
|
|
"orientation": "vertical",
|
|
"percentChangeColorMode": "standard",
|
|
"reduceOptions": {
|
|
"calcs": [
|
|
"lastNotNull"
|
|
],
|
|
"fields": "/^scaled_difference$/",
|
|
"values": false
|
|
},
|
|
"showPercentChange": false,
|
|
"textMode": "auto",
|
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"wideLayout": true
|
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},
|
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"pluginVersion": "11.2.0",
|
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"targets": [
|
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{
|
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"datasource": {
|
|
"type": "influxdb",
|
|
"uid": "cdzg44tv250jkd"
|
|
},
|
|
"query": "// Process mG1: Aggregate at 1m, compute moving average, and scale\nmG1 = from(bucket: \"${bucket}\")\n |> range(start: -90m, stop: now())\n |> filter(fn: (r) => r._measurement == \"mG1\" and r._field == \"upstream_predicted_power\")\n |> aggregateWindow(every: 1m, fn: mean, createEmpty: false)\n |> movingAverage(n: 60)\n |> map(fn: (r) => ({\n _time: r._time,\n mG1_scaled: float(v: r._value)\n }))\n\n// Process mG2: Same processing as mG1\nmG2 = from(bucket: \"${bucket}\")\n |> range(start: -90m, stop: now())\n |> filter(fn: (r) => r._measurement == \"mG2\" and r._field == \"upstream_predicted_power\")\n |> aggregateWindow(every: 1m, fn: mean, createEmpty: false)\n |> movingAverage(n: 60)\n |> map(fn: (r) => ({\n _time: r._time,\n mG2_scaled: float(v: r._value)\n }))\n\n// Join the two streams on _time and compute the cost difference\njoin(\n tables: {mG1: mG1, mG2: mG2},\n on: [\"_time\"],\n method: \"inner\"\n)\n |> map(fn: (r) => ({\n _time: r._time,\n // Assuming 0.25 Euro per kWh:\n scaled_difference: (r.mG1_scaled - r.mG2_scaled) * 0.25\n }))\n |> yield(name: \"scaled_rolling_difference\")",
|
|
"refId": "A"
|
|
}
|
|
],
|
|
"title": "Rollend gemiddeld verschil / h",
|
|
"type": "stat"
|
|
},
|
|
{
|
|
"datasource": {
|
|
"default": true,
|
|
"type": "influxdb",
|
|
"uid": "cdzg44tv250jkd"
|
|
},
|
|
"description": "Rollend gemiddelde kost / h",
|
|
"fieldConfig": {
|
|
"defaults": {
|
|
"color": {
|
|
"mode": "continuous-GrYlRd"
|
|
},
|
|
"mappings": [],
|
|
"max": 16,
|
|
"min": 0,
|
|
"thresholds": {
|
|
"mode": "absolute",
|
|
"steps": [
|
|
{
|
|
"color": "blue",
|
|
"value": null
|
|
}
|
|
]
|
|
},
|
|
"unit": "Euro (€) / h"
|
|
},
|
|
"overrides": []
|
|
},
|
|
"gridPos": {
|
|
"h": 14,
|
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"w": 9,
|
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"x": 0,
|
|
"y": 24
|
|
},
|
|
"id": 31,
|
|
"options": {
|
|
"displayMode": "lcd",
|
|
"maxVizHeight": 300,
|
|
"minVizHeight": 16,
|
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"minVizWidth": 8,
|
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"namePlacement": "auto",
|
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"orientation": "auto",
|
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"reduceOptions": {
|
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"calcs": [
|
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"lastNotNull"
|
|
],
|
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"fields": "",
|
|
"values": false
|
|
},
|
|
"showUnfilled": true,
|
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"sizing": "auto",
|
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"valueMode": "text"
|
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},
|
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"pluginVersion": "11.2.0",
|
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"targets": [
|
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{
|
|
"datasource": {
|
|
"type": "influxdb",
|
|
"uid": "cdzg44tv250jkd"
|
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},
|
|
"query": "from(bucket: \"${bucket}\")\n |> range(start: -90m, stop: now())\n |> filter(fn: (r) => \n r._measurement == \"mG1\" and \n r._field == \"upstream_predicted_power\"\n )\n // Aggregate raw data to 1-minute intervals.\n |> aggregateWindow(every: 1m, fn: mean, createEmpty: false)\n // Compute a 60-point moving average (rolling average over the last 60 minutes).\n |> movingAverage(n: 60)\n // Re-aggregate to 1-minute intervals (adjust if you meant 6m for 10 points per hour)\n |> aggregateWindow(every: 1m, fn: last, createEmpty: false)\n // Multiply each value by 0.25\n |> map(fn: (r) => ({\n _time: r._time,\n _value: r._value * 0.25\n }))\n |> yield(name: \"mG1\")\n",
|
|
"refId": "A"
|
|
},
|
|
{
|
|
"datasource": {
|
|
"type": "influxdb",
|
|
"uid": "cdzg44tv250jkd"
|
|
},
|
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"hide": false,
|
|
"query": "from(bucket: \"${bucket}\")\r\n |> range(start: -90m, stop: now())\r\n |> filter(fn: (r) => \r\n r._measurement == \"mG2\" and \r\n r._field == \"upstream_predicted_power\"\r\n )\r\n // Aggregate raw data to 1-minute intervals.\r\n |> aggregateWindow(every: 1m, fn: mean, createEmpty: false)\r\n // Compute a 60-point moving average (rolling average over the last 60 minutes).\r\n |> movingAverage(n: 60)\r\n // Re-aggregate to 1-minute intervals (adjust if you meant 6m for 10 points per hour)\r\n |> aggregateWindow(every: 1m, fn: last, createEmpty: false)\r\n // Multiply each value by 0.25\r\n |> map(fn: (r) => ({\r\n _time: r._time,\r\n _value: r._value * 0.25\r\n }))\r\n |> yield(name: \"mG2\")\r\n",
|
|
"refId": "B"
|
|
}
|
|
],
|
|
"title": "Kosten Rollend gemiddelde / h",
|
|
"type": "bargauge"
|
|
},
|
|
{
|
|
"datasource": {
|
|
"default": true,
|
|
"type": "influxdb",
|
|
"uid": "cdzg44tv250jkd"
|
|
},
|
|
"description": "Over een tijdsperiode van 1 uur het rollend gemiddelde in kWh",
|
|
"fieldConfig": {
|
|
"defaults": {
|
|
"color": {
|
|
"mode": "thresholds"
|
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},
|
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"mappings": [],
|
|
"min": 0,
|
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"thresholds": {
|
|
"mode": "absolute",
|
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"steps": [
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{
|
|
"color": "green",
|
|
"value": null
|
|
}
|
|
]
|
|
},
|
|
"unit": "kwatth"
|
|
},
|
|
"overrides": []
|
|
},
|
|
"gridPos": {
|
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"h": 7,
|
|
"w": 7,
|
|
"x": 9,
|
|
"y": 24
|
|
},
|
|
"id": 41,
|
|
"options": {
|
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"colorMode": "value",
|
|
"graphMode": "area",
|
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"justifyMode": "auto",
|
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"orientation": "auto",
|
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"percentChangeColorMode": "standard",
|
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"reduceOptions": {
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"calcs": [
|
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"lastNotNull"
|
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],
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"fields": "",
|
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"values": false
|
|
},
|
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"showPercentChange": false,
|
|
"textMode": "auto",
|
|
"wideLayout": true
|
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},
|
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"pluginVersion": "11.2.0",
|
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"targets": [
|
|
{
|
|
"datasource": {
|
|
"type": "influxdb",
|
|
"uid": "cdzg44tv250jkd"
|
|
},
|
|
"query": "from(bucket: \"${bucket}\")\n |> range(start: -90m, stop: now())\n |> filter(fn: (r) => \n r._measurement == \"mG1\" and \n r._field == \"upstream_predicted_power\"\n )\n // Aggregate raw data to 1-minute intervals.\n |> aggregateWindow(every: 1m, fn: mean, createEmpty: false)\n // Compute a 60-point moving average (rolling average over the last 60 minutes).\n |> movingAverage(n: 60)\n // Re-aggregate to 6-minute intervals to consistently yield 60 data points per hour.\n |> aggregateWindow(every: 1m, fn: last, createEmpty: false)\n |> yield(name: \"rolling_average\")\n",
|
|
"refId": "A"
|
|
}
|
|
],
|
|
"title": "mG1 Rollend gemiddeld verschil / kWh",
|
|
"type": "stat"
|
|
},
|
|
{
|
|
"datasource": {
|
|
"default": true,
|
|
"type": "influxdb",
|
|
"uid": "cdzg44tv250jkd"
|
|
},
|
|
"description": "Het rollend gemiddelde * 8766 uur",
|
|
"fieldConfig": {
|
|
"defaults": {
|
|
"color": {
|
|
"mode": "thresholds"
|
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},
|
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"mappings": [],
|
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"max": 20,
|
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"min": 0,
|
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"thresholds": {
|
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"mode": "absolute",
|
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"steps": [
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{
|
|
"color": "red",
|
|
"value": null
|
|
}
|
|
]
|
|
},
|
|
"unit": "currencyEUR"
|
|
},
|
|
"overrides": []
|
|
},
|
|
"gridPos": {
|
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"h": 14,
|
|
"w": 6,
|
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"x": 16,
|
|
"y": 24
|
|
},
|
|
"id": 33,
|
|
"options": {
|
|
"colorMode": "value",
|
|
"graphMode": "area",
|
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"justifyMode": "auto",
|
|
"orientation": "auto",
|
|
"percentChangeColorMode": "standard",
|
|
"reduceOptions": {
|
|
"calcs": [
|
|
"lastNotNull"
|
|
],
|
|
"fields": "/^scaled_difference$/",
|
|
"values": false
|
|
},
|
|
"showPercentChange": false,
|
|
"textMode": "auto",
|
|
"wideLayout": true
|
|
},
|
|
"pluginVersion": "11.2.0",
|
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"targets": [
|
|
{
|
|
"datasource": {
|
|
"type": "influxdb",
|
|
"uid": "cdzg44tv250jkd"
|
|
},
|
|
"query": "// Process mG1: Filter, aggregate, compute moving average, and scale\nmG1 = from(bucket: \"${bucket}\")\n |> range(start: -90m, stop: now())\n |> filter(fn: (r) => r._measurement == \"mG1\" and r._field == \"upstream_predicted_power\")\n |> aggregateWindow(every: 1m, fn: mean, createEmpty: false)\n |> movingAverage(n: 60)\n |> map(fn: (r) => ({\n _time: r._time,\n mG1_scaled: float(v: r._value) * 8766.0\n }))\n\n// Process mG2: Filter, aggregate, compute moving average, and scale\nmG2 = from(bucket: \"${bucket}\")\n |> range(start: -90m, stop: now())\n |> filter(fn: (r) => r._measurement == \"mG2\" and r._field == \"upstream_predicted_power\")\n |> aggregateWindow(every: 1m, fn: mean, createEmpty: false)\n |> movingAverage(n: 60)\n |> map(fn: (r) => ({\n _time: r._time,\n mG2_scaled: float(v: r._value) * 8766.0\n }))\n\n// Join the two streams on _time and compute the difference\njoin(\n tables: {mG1: mG1, mG2: mG2},\n on: [\"_time\"],\n method: \"inner\"\n)\n |> map(fn: (r) => ({\n _time: r._time,\n scaled_difference: ( r.mG1_scaled - r.mG2_scaled ) * 0.25\n }))\n |> yield(name: \"scaled_rolling_difference\")\n\n\n\n\n\n",
|
|
"refId": "A"
|
|
}
|
|
],
|
|
"title": "Projectie over 1 jaar",
|
|
"type": "stat"
|
|
},
|
|
{
|
|
"datasource": {
|
|
"default": true,
|
|
"type": "influxdb",
|
|
"uid": "cdzg44tv250jkd"
|
|
},
|
|
"description": "Over een tijdsperiode van 1 uur het rollend gemiddelde in kWh",
|
|
"fieldConfig": {
|
|
"defaults": {
|
|
"color": {
|
|
"mode": "thresholds"
|
|
},
|
|
"mappings": [],
|
|
"min": 0,
|
|
"thresholds": {
|
|
"mode": "absolute",
|
|
"steps": [
|
|
{
|
|
"color": "green",
|
|
"value": null
|
|
}
|
|
]
|
|
},
|
|
"unit": "kwatth"
|
|
},
|
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"overrides": []
|
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},
|
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"gridPos": {
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"h": 7,
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"w": 7,
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}
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"query": "from(bucket: \"${bucket}\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn:(r) => ( r._measurement==\"mG1\" or r._measurement==\"mG2\" ) and ( r._field==\"upstream_measured_power\" or r._field==\"upstream_predicted_power\" ) )\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: true)",
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"refId": "A"
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},
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{
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"datasource": {
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"uid": "cdzg44tv250jkd"
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"refId": "B"
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"type": "influxdb",
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"uid": "cdzg44tv250jkd"
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},
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"query": "from(bucket: \"${bucket}\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn:(r) => ( r._measurement==\"m1\" or r._measurement==\"m2\" or r._measurement==\"m3\" or r._measurement==\"mG1\" ) and ( r._field==\"downstream_predicted_flow\") )\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: true)",
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"refId": "A"
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}
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],
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"title": "mG1 flow",
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{
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"showPoints": "auto",
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"spanNulls": true,
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"stacking": {
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"group": "A",
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"mode": "none"
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"thresholdsStyle": {
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"uid": "cdzg44tv250jkd"
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},
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"query": "from(bucket: \"${bucket}\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn:(r) => ( r._measurement==\"m4\" or r._measurement==\"m5\" or r._measurement==\"m6\" or r._measurement==\"mG2\" ) and (r._field==\"downstream_predicted_flow\") )\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: true)",
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"refId": "A"
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}
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],
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"title": "mG2 flow",
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{
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"spanNulls": true,
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"stacking": {
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"group": "A",
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"mode": "none"
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"thresholdsStyle": {
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}
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"overrides": [
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{
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"__systemRef": "hideSeriesFrom",
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"mode": "exclude",
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"names": [
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"mG2 downstream_predicted_flow {geoLocation=\"undefined\", id=\"07ec60b7b7c17582\", model=\"undefined\", name=\"mG2\", role=\"GroupController\", softwareType=\"machineGroup\", subType=\"undefined\", supplier=\"undefined\", type=\"undefined\", unit=\"undefined\", uuid=\"undefined\"}",
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],
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"prefix": "All except:",
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{
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"h": 12,
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"id": 21,
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{
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"uid": "cdzg44tv250jkd"
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},
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"query": "from(bucket: \"${bucket}\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn:(r) => ( r._measurement==\"m1\" or r._measurement==\"m2\" or r._measurement==\"m3\" or r._measurement==\"mG1\" ) and (r._field==\"downstream_predicted_flow\") )\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: true)",
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{
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"datasource": {
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"uid": "cdzg44tv250jkd"
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"query": "from(bucket: \"${bucket}\")\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |> filter(fn:(r) => ( r._measurement==\"m4\" or r._measurement==\"m5\" or r._measurement==\"m6\" or r._measurement==\"mG2\" ) and (r._field==\"downstream_predicted_flow\") )\r\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: true)",
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"refId": "B"
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}
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],
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"title": "mG1 and mG2 Flow",
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"type": "timeseries"
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}
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],
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{
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"selected": true,
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{
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{
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},
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"time": {
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"to": "now"
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"10s",
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"30s",
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"5m",
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"15m",
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"30m",
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