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new data models
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‎ProcessChemicalAnalysis/ADOPTERS.yaml‎

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description: This is a compilation list of the current adopters of the data model ProcessChemicalAnalysis of the Subject ProcessIndustry. All fields are non mandatory. More info at https://smart-data-models.github.io/data-models/templates/dataModel/CURRENT_ADOPTERS.yaml
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currentAdopters:
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- adopter:
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description: https://alchimia-project.eu/
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mail:
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organization:
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project: ALCHIMIA - Data and decentralized Artificial intelligence for a competitive and green European metallurgy industry
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comments: This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 101070046
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startDate:

‎ProcessChemicalAnalysis/examples/example-normalized.json‎

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{
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"id": "urn:ngsi-ld:ProcessChemicalAnalysis:PlantZ:UnitProcessX:32781",
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"type": "ProcessChemicalAnalysis",
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"dateObserved": {
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"type": "DateTime",
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"value": "2025-07-17T14:07:00Z"
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},
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"processName": {
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"type": "Text",
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"value": "unit_process_x"
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},
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"heatNumber": {
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"type": "Number",
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"value": 10001
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},
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"chemicalAnalysis" : {
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"type": "StructuredValue",
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"value": {
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"sampleNumber": {
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"type": "Number",
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"value": 1
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},
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"chemicalConcentration": {
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"type": "StructuredValue",
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"value": [
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{
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"type": "StructuredValue",
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"value": {
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"substance": {
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"type": "Text",
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"value": "Fe"
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},
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"percentage": {
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"type": "Number",
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"value": 0.9973
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}
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}
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},
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{
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"type": "StructuredValue",
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"value": {
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"substance": {
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"type": "Text",
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"value": "Cu"
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},
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"percentage": {
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"type": "Number",
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"value": 0.0005
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}
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}
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}
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]
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}
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}
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}
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}

‎ProcessChemicalAnalysis/examples/example-normalized.jsonld‎

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{
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"@context": [
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"https://raw.githubusercontent.com/smart-data-models/incubated/refs/heads/smartmanufacturing-processindustry/SMARTMANUFACTURING/ProcessIndustry/context.jsonld"
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],
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"id": "urn:ngsi-ld:ProcessChemicalAnalysis:PlantZ:UnitProcessX:32781",
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"type": "ProcessChemicalAnalysis",
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"dateObserved": {
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"type": "Property",
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"value": {
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"@type": "DateTime",
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"@value": "2025-07-17T14:07:00Z"
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}
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},
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"processName": {
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"type": "Property",
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"value": "unit_process_x"
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},
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"heatNumber": {
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"type": "Property",
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"value": 10001
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},
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"chemicalAnalysis" : {
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"type": "Property",
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"value": {
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"sampleNumber": {
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"type": "Property",
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"value": 1
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},
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"chemicalConcentration": {
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"type": "Property",
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"value": [
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{
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"type": "Property",
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"value": {
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"substance": {
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"type": "Property",
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"value": "Fe"
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},
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"percentage": {
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"type": "Property",
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"value": 0.9973
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}
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}
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},
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{
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"type": "Property",
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"value": {
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"substance": {
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"type": "Property",
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"value": "Cu"
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},
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"percentage": {
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"type": "Property",
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"value": 0.0005
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}
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}
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}
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]
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}
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}
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}
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}

‎ProcessChemicalAnalysis/examples/example.json‎

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{
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"id": "urn:ngsi-ld:ProcessChemicalAnalysis:PlantZ:UnitProcessX:32781",
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"type": "ProcessChemicalAnalysis",
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"dateObserved": "2025-07-17T14:07:00Z",
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"processName": "unit_process_x",
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"heatNumber": 10001,
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"chemicalAnalysis":
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{
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"sampleNumber": 1,
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"chemicalConcentration" :
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[
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{
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"substance": "Fe",
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"percentage": 0.9973
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},
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{
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"substance": "Cu",
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"percentage": 0.0005
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}
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]
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}
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}

‎ProcessChemicalAnalysis/examples/example.jsonld‎

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{
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"@context": [
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"https://raw.githubusercontent.com/smart-data-models/incubated/refs/heads/smartmanufacturing-processindustry/SMARTMANUFACTURING/ProcessIndustry/context.jsonld"
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],
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"id": "urn:ngsi-ld:ProcessChemicalAnalysis:PlantZ:UnitProcessX:32781",
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"type": "ProcessChemicalAnalysis",
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"dateObserved": "2025-07-17T14:07:00Z",
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"processName": "unit_process_x",
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"heatNumber": 10001,
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"chemicalAnalysis":
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{
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"sampleNumber": 1,
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"chemicalConcentration" :
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[
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{
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"substance": "Fe",
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"percentage": 0.9973
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},
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{
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"substance": "Cu",
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"percentage": 0.0005
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}
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]
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}
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}

‎ProcessChemicalAnalysis/notes.yaml‎

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notesHeader:
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This data model delivers data related to chemical analyses performed in a process plant. The data model has been developed from the needs of steelmaking, but similar data structures are expected appropriate in other application areas as well. The process can be a batch process or continuous.
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notesFooter:
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These data models were developed in the project ALCHIMIA - Data and decentralized Artificial intelligence for a competitive and green European metallurgy industry. This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 101070046. See https://alchimia-project.eu/
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notesReadme:
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These data models were developed in the project ALCHIMIA - Data and decentralized Artificial intelligence for a competitive and green European metallurgy industry. This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 101070046. See https://alchimia-project.eu/

‎ProcessChemicalAnalysis/schema.json‎

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{
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"$schema": "http://json-schema.org/schema#",
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"$schemaVersion": "0.1.0",
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"$id": "https://smart-data-models.github.io/dataModel.ProcessIndustry/ProcessChemicalAnalysis/schema.json",
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"title": "Smart Data Models - Process chemical analysis event schema",
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"description": "Schema for chemical analyses from industrial processes",
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"type": "object",
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"allOf": [
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{
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"$ref": "https://smart-data-models.github.io/data-models/common-schema.json#/definitions/GSMA-Commons"
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},
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{
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"$ref": "https://smart-data-models.github.io/data-models/common-schema.json#/definitions/Location-Commons"
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},
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{
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"properties": {
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"type": {
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"type": "string",
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"enum": [
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"ProcessChemicalAnalysis"
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],
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"description": "Property. NGSI Entity type. It has to be ProcessChemicalAnalysis"
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},
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"dateObserved": {
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"$ref": "https://smart-data-models.github.io/data-models/common-schema.json#/definitions/dateObserved"
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},
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"processName": {
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"$ref": "https://raw.githubusercontent.com/smart-data-models/incubated/refs/heads/smartmanufacturing-processindustry/SMARTMANUFACTURING/ProcessIndustry/processindustry-schema.json#/definitions/ProcessIndustry-Commons/properties/processName"
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},
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"heatNumber": {
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"$ref": "https://raw.githubusercontent.com/smart-data-models/incubated/refs/heads/smartmanufacturing-processindustry/SMARTMANUFACTURING/ProcessIndustry/processindustry-schema.json#/definitions/ProcessIndustry-Commons/properties/heatNumber"
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},
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"chemicalAnalysis": {
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"type": "object",
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"description": "Property. Information about the chemical analysis performed",
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"properties": {
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"sampleNumber": {
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"type": "number",
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"description": "Property. Sample number if multiple samples are taken during a process"
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},
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"chemicalConcentration": {
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"type": "array",
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"description": "Property. The components in the chemical composition of the material",
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"items": {
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"type": "object",
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"properties": {
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"substance": {
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"type": "string",
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"description": "Property. Chemical substance name or identifier, preferably the chemical symbol"
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},
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"percentage": {
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"type": "number",
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"minimum": 0,
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"maximum": 1,
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"description": "Property. Percentage of the chemical substance"
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}
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},
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"required": [
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"substance",
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"percentage"
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]
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}
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}
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},
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"required": [
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"chemicalConcentration"
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]
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}
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}
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}
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],
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"required": [
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"id",
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"type",
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"chemicalAnalysis"
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]
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}

‎ProcessEvent/ADOPTERS.yaml‎

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description: This is a compilation list of the current adopters of the data model ProcessEvent of the Subject ProcessIndustry. All fields are non mandatory. More info at https://smart-data-models.github.io/data-models/templates/dataModel/CURRENT_ADOPTERS.yaml
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currentAdopters:
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- adopter:
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description: https://alchimia-project.eu/
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mail:
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organization:
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project: ALCHIMIA - Data and decentralized Artificial intelligence for a competitive and green European metallurgy industry
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comments: This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 101070046
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startDate:

‎ProcessEvent/examples/example-normalized.json‎

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{
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"id": "urn:ngsi-ld:ProcessEvent:PlantZ:UnitProcessX:45612389",
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"type": "ProcessEvent",
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"dateObserved": {
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"type": "DateTime",
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"value": "2025-07-17T14:07:00Z"
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},
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"processName": {
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"type": "Text",
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"value": "unit_process_x"
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},
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"heatNumber": {
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"type": "Number",
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"value": 10001
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},
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"processEvent": {
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"type": "Text",
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"value": "heat_end"
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}
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}

‎ProcessEvent/examples/example-normalized.jsonld‎

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{
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"@context": [
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"https://raw.githubusercontent.com/smart-data-models/incubated/refs/heads/smartmanufacturing-processindustry/SMARTMANUFACTURING/ProcessIndustry/context.jsonld"
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],
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"id": "urn:ngsi-ld:ProcessEvent:PlantZ:UnitProcessX:45612389",
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"type": "ProcessEvent",
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"dateObserved": {
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"type": "Property",
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"value": {
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"@type": "DateTime",
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"@value": "2025-07-17T14:07:00Z"
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}
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},
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"processName": {
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"type": "Property",
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"value": "unit_process_x"
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},
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"heatNumber": {
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"type": "Property",
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"value": 10001
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},
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"processEvent": {
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"type": "Property",
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"value": "heat_end"
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}
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}

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