f8f71a4f1c
- configs/machineGroupControl.json: drop prioritypercentagecontrol mode
(unused — set.demand became unit-self-describing, so percentage-vs-absolute
is decided per-message, not by a node-wide scaling mode). Add output.process
/ output.dbase enums + functionality.distance{,Unit,Description} so the
editor's distance offset persists. Fixes the runtime warnings 'Unknown key
optimization/scaling/movement/curvePressureUnit etc.' the validator was
logging on every MGC instantiation.
- configs/measurement.json: same output.process/dbase block + nullable
position.x for the rare case a measurement has no parent yet.
- datasets/assetData/machine.json -> rotatingmachine.json: rename so
AssetMenu's softwareType lookup matches. AssetMenu.getActiveCategoryKey
no longer silently falls back to keys[0] (which mis-showed diffuser models
for rotatingMachine nodes) — returns null with a console.warn instead.
- menu/asset.js: re-derive supplier/assetType from saved model id on reopen.
The save handler intentionally discards the denormalized registry copies
to keep the persisted node small, so the cascade dropdown booted at
'Select...' even when a model was saved. Walk the registry tree to
reconstitute.
- predict/predict_class.js: minor.
- configs/index.js: minor.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
515 lines
19 KiB
JSON
515 lines
19 KiB
JSON
{
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"general": {
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"name": {
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"default": "Sensor",
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"rules": {
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"type": "string",
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"description": "A human-readable name or label for this measurement configuration."
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}
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},
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"id": {
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"default": null,
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"rules": {
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"type": "string",
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"nullable": true,
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"description": "A unique identifier for this configuration. If not provided, defaults to null."
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}
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},
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"unit": {
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"default": "unitless",
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"rules": {
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"type": "string",
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"description": "The unit of measurement for this configuration (e.g., 'meters', 'seconds', 'unitless')."
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}
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},
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"logging": {
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"logLevel": {
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"default": "info",
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"rules": {
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"type": "enum",
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"values": [
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{
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"value": "debug",
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"description": "Log messages are printed for debugging purposes."
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},
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{
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"value": "info",
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"description": "Informational messages are printed."
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},
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{
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"value": "warn",
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"description": "Warning messages are printed."
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},
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{
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"value": "error",
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"description": "Error messages are printed."
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}
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]
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}
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},
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"enabled": {
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"default": true,
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"rules": {
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"type": "boolean",
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"description": "Indicates whether logging is active. If true, log messages will be generated."
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}
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}
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}
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},
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"functionality": {
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"softwareType": {
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"default": "measurement",
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"rules": {
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"type": "string",
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"description": "Specified software type for this configuration."
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}
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},
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"role": {
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"default": "Sensor",
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"rules": {
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"type": "string",
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"description": "Indicates the role this configuration plays (e.g., sensor, controller, etc.)."
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}
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},
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"positionVsParent":{
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"default":"atEquipment",
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"rules": {
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"type": "enum",
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"values": [
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{
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"value": "atEquipment",
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"description": "The measurement is taken at the equipment level, typically representing the overall state or performance of the equipment."
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},
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{
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"value": "upstream",
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"description": "The measurement is taken upstream, meaning it is related to inputs or conditions that affect the equipment's operation, such as supply conditions or environmental factors."
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},
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{
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"value": "downstream",
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"description": "The measurement is taken downstream, indicating it relates to outputs or results of the equipment's operation, such as product quality or performance metrics."
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}
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],
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"description": "Defines the position of the measurement relative to its parent equipment or system."
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}
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},
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"distance":{
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"default": null,
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"rules": {
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"type": "number",
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"nullable": true,
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"description": "Defines the position of the measurement relative to its parent equipment or system."
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}
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}
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},
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"output": {
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"process": {
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"default": "process",
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"rules": {
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"type": "enum",
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"values": [
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{ "value": "process", "description": "Delta-compressed process message (default)." },
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{ "value": "json", "description": "Raw JSON payload." },
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{ "value": "csv", "description": "CSV-formatted payload." }
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],
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"description": "Format of the process payload emitted on output port 0."
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}
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},
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"dbase": {
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"default": "influxdb",
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"rules": {
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"type": "enum",
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"values": [
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{ "value": "influxdb", "description": "InfluxDB line-protocol payload (default)." },
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{ "value": "json", "description": "Raw JSON payload." },
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{ "value": "csv", "description": "CSV-formatted payload." }
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],
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"description": "Format of the telemetry payload emitted on output port 1."
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}
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}
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},
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"asset": {
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"uuid": {
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"default": null,
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"rules": {
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"type": "string",
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"nullable": true,
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"description": "Asset tag number which is a universally unique identifier for this asset. May be null if not assigned."
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}
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},
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"tagCode":{
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"default": null,
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"rules": {
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"type": "string",
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"nullable": true,
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"description": "Asset tag code which is a unique identifier for this asset. May be null if not assigned."
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}
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},
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"tagNumber": {
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"default": null,
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"rules": {
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"type": "string",
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"nullable": true,
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"description": "Asset tag number assigned by the asset registry. May be null if not assigned."
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}
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},
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"geoLocation": {
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"default": {
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"x": 0,
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"y": 0,
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"z": 0
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},
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"rules": {
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"type": "object",
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"description": "An object representing the asset's physical coordinates or location.",
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"schema": {
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"x": {
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"default": 0,
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"rules": {
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"type": "number",
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"description": "X coordinate of the asset's location."
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}
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},
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"y": {
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"default": 0,
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"rules": {
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"type": "number",
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"description": "Y coordinate of the asset's location."
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}
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},
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"z": {
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"default": 0,
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"rules": {
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"type": "number",
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"description": "Z coordinate of the asset's location."
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}
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}
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}
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}
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},
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"supplier": {
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"default": "Unknown",
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"rules": {
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"type": "string",
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"description": "The supplier or manufacturer of the asset."
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}
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},
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"category": {
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"default": "sensor",
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"rules": {
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"type": "enum",
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"values": [
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{
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"value": "sensor",
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"description": "A device that detects or measures a physical property and responds to it (e.g. temperature sensor)."
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},
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{
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"value": "measurement",
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"description": "Measurement software category used by the asset menu for this node."
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}
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]
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}
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},
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"type": {
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"default": "pressure",
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"rules": {
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"type": "string",
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"description": "A more specific classification within 'type'. For example, 'pressure' for a pressure sensor."
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}
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},
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"model": {
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"default": "Unknown",
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"rules": {
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"type": "string",
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"description": "A user-defined or manufacturer-defined model identifier for the asset."
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}
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},
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"unit": {
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"default": "unitless",
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"rules": {
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"type": "string",
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"description": "The unit of measurement for this asset (e.g., 'meters', 'seconds', 'unitless')."
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}
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},
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"accuracy": {
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"default": null,
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"rules": {
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"type": "number",
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"nullable": true,
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"description": "The accuracy of the sensor, typically represented as a percentage or absolute value."
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}
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},
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"repeatability": {
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"default": null,
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"rules": {
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"type": "number",
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"nullable": true,
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"description": "The repeatability of the sensor, typically represented as a percentage or absolute value."
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}
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}
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},
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"assetRegistration": {
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"default": {
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"profileId": 1,
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"locationId": 1,
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"processId": 1,
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"status": "actief",
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"childAssets": []
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},
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"rules": {
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"type": "object",
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"schema": {
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"profileId": {
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"default": 1,
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"rules": {
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"type": "number"
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}
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},
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"locationId": {
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"default": 1,
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"rules": {
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"type": "number"
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}
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},
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"processId": {
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"default": 1,
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"rules": {
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"type": "number"
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}
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},
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"status": {
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"default": "actief",
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"rules": {
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"type": "string"
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}
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},
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"childAssets": {
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"default": [],
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"rules": {
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"type": "array",
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"itemType": "string",
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"minLength": 0
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}
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}
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}
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}
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},
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"scaling": {
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"enabled": {
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"default": false,
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"rules": {
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"type": "boolean",
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"description": "Indicates whether input scaling is active. If true, input values will be scaled according to the parameters below."
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}
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},
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"inputMin": {
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"default": 0,
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"rules": {
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"type": "number",
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"description": "The minimum expected input value before scaling."
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}
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},
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"inputMax": {
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"default": 1,
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"rules": {
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"type": "number",
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"description": "The maximum expected input value before scaling."
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}
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},
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"absMin": {
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"default": 50,
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"rules": {
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"type": "number",
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"description": "The absolute minimum value that can be read or displayed after scaling."
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}
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},
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"absMax": {
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"default": 100,
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"rules": {
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"type": "number",
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"description": "The absolute maximum value that can be read or displayed after scaling."
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}
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},
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"offset": {
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"default": 0,
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"rules": {
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"type": "number",
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"description": "A constant offset to apply to the scaled output (e.g., to calibrate zero-points)."
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}
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}
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},
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"smoothing": {
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"smoothWindow": {
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"default": 10,
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"rules": {
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"type": "number",
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"min": 1,
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"description": "Determines the size of the data window (number of samples) used for smoothing operations."
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}
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},
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"smoothMethod": {
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"default": "mean",
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"rules": {
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"type": "enum",
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"values": [
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{
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"value": "none",
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"description": "No smoothing is applied; raw data is passed through."
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},
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{
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"value": "mean",
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"description": "Calculates the simple arithmetic mean (average) of the data points in a window."
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},
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{
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"value": "min",
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"description": "Selects the smallest (minimum) value among the data points in a window."
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},
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{
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"value": "max",
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"description": "Selects the largest (maximum) value among the data points in a window."
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},
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{
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"value": "sd",
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"description": "Computes the standard deviation to measure the variation or spread of the data."
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},
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{
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"value": "lowPass",
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"description": "Filters out high-frequency components, allowing only lower frequencies to pass."
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},
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{
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"value": "highPass",
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"description": "Filters out low-frequency components, allowing only higher frequencies to pass."
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},
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{
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"value": "weightedMovingAverage",
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"description": "Applies varying weights to each data point in a window before averaging."
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},
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{
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"value": "bandPass",
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"description": "Filters the signal to allow only frequencies within a specific range to pass."
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},
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{
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"value": "median",
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"description": "Selects the median (middle) value in a window, minimizing the effect of outliers."
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},
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{
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"value": "kalman",
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"description": "Applies a Kalman filter to combine noisy measurements over time for more accurate estimates."
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},
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{
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"value": "savitzkyGolay",
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"description": "Uses a polynomial smoothing filter on a moving window, which can also provide derivative estimates."
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}
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]
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}
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}
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},
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"simulation": {
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"enabled": {
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"default": false,
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"rules": {
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"type": "boolean",
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"description": "If true, the system operates in simulation mode, generating simulated values instead of using real inputs."
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}
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},
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"safeCalibrationTime": {
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"default": 100,
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"rules": {
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"type": "number",
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"min": 100,
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"description": "Time to wait before finalizing calibration in simulation mode (in milliseconds or appropriate unit)."
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}
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}
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},
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"interpolation": {
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"percentMin": {
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"default": 0,
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"rules": {
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"type": "number",
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"min": 0,
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"description": "Minimum percentage for interpolation or data scaling operations."
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}
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},
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"percentMax": {
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"default": 100,
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"rules": {
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"type": "number",
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"max": 100,
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"description": "Maximum percentage for interpolation or data scaling operations."
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}
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}
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},
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"mode": {
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"current": {
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"default": "analog",
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"rules": {
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"type": "enum",
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"values": [
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{
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"value": "analog",
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"description": "Single-scalar input mode (classic 4-20mA / PLC style). msg.payload is a number; the node runs one offset/scaling/smoothing/outlier pipeline and emits one MeasurementContainer slot."
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},
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{
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"value": "digital",
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"description": "Multi-channel input mode (MQTT / IoT JSON style). msg.payload is an object keyed by channel names declared under config.channels; the node routes each key through its own pipeline and emits N slots from one input message."
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}
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],
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"description": "Selects how incoming msg.payload is interpreted."
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}
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}
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},
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"channels": {
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"default": [],
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"rules": {
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"type": "array",
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"itemType": "object",
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"minLength": 0,
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"description": "Channel map used in digital mode. Each entry is a self-contained pipeline definition: {key, type, position, unit, scaling?, smoothing?, outlierDetection?, distance?}. Ignored in analog mode."
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}
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},
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"calibration": {
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"stabilityThreshold": {
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"default": 0.01,
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"rules": {
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"type": "number",
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"min": 0,
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"description": "Absolute standard-deviation ceiling (in scaling-units, i.e. the same range as absMin..absMax) below which the rolling window is considered stable enough to trust for calibration / repeatability. A buffer with stdDev <= threshold is treated as stable; anything above aborts calibrate() and evaluateRepeatability() with a warning. Default 0.01 fits the [50,100] absMin/absMax default range; tighten or relax to match your sensor's expected noise floor."
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}
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}
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},
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"outlierDetection": {
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"enabled": {
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"default": false,
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"rules": {
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"type": "boolean",
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"description": "Indicates whether outlier detection is enabled. If true, outliers will be identified and handled according to the method specified."
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}
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},
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"method": {
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"default": "zScore",
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"rules": {
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"type": "enum",
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"values": [
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{
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"value": "zScore",
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"description": "Uses the Z-score method to identify outliers based on standard deviations from the mean."
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},
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{
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"value": "iqr",
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"description": "Uses the Interquartile Range (IQR) method to identify outliers based on the spread of the middle 50% of the data."
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},
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{
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"value": "modifiedZScore",
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"description": "Uses a modified Z-score method that is more robust to small sample sizes."
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}
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]
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}
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},
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"threshold": {
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"default": 3,
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"rules": {
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"type": "number",
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"description": "The threshold value used by the selected outlier detection method. For example, a Z-score threshold of 3.0."
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}
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}
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}
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} |