standaardisation updates
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znetsixe
385
src/configs/measurement.json
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385
src/configs/measurement.json
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{
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"general": {
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"name": {
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"default": "Measurement Configuration",
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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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},
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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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"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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}
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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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"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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"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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}
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