Spremembe

              
    

          
          
        
        

            
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{
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{
            
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  "author": "Toby Dukes",
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  "author": "Toby Dukes",
            
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  "author_email": "toby.dukes@amfg.ai",
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  "author_email": "toby.dukes@amfg.ai",
            
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  "cloud_storage_key_segment": 
            
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"smdh-amfg-predictive-tooling-maintenance",
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"smdh-amfg-predictive-tooling-maintenance",
            
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  "creator_user_id": "1a7e53fd-7c0f-4751-80ed-46abbbec41eb",
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  "creator_user_id": "1a7e53fd-7c0f-4751-80ed-46abbbec41eb",
            
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  "license_id": "notspecified",
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  "license_id": "notspecified",
            
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  "license_title": "License not specified",
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  "license_title": "License not specified",
            
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  "maintainer": "Toby Dukes",
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  "maintainer": "Toby Dukes",
            
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  "maintainer_email": "toby.dukes@amfg.ai",
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  "maintainer_email": "toby.dukes@amfg.ai",
            
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  "metadata_created": "2025-02-24T17:51:14.568612",
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  "metadata_created": "2025-02-24T17:51:14.568612",
            
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  "metadata_modified": "2025-02-28T10:05:45.214958",
            
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  "name": 
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  "name": 
            
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tonomous-manufacturing-ltd--smdh-amfg-predictive-tooling-maintenance",
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tonomous-manufacturing-ltd--smdh-amfg-predictive-tooling-maintenance",
            
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  "notes": "This is the data provided for each SME for the lighthouse 
18
  "notes": "This is the data provided for each SME for the lighthouse 
            
19
project Zero barrier predictive maintenance for SMEs in the machining 
19
project Zero barrier predictive maintenance for SMEs in the machining 
            
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industry. There will be 4 separate XLS files uploaded for each of the 
20
industry. There will be 4 separate XLS files uploaded for each of the 
            
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testbeds that were used for data collection. The data varies slightly 
21
testbeds that were used for data collection. The data varies slightly 
            
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per testbed based on machines and tools used.",
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per testbed based on machines and tools used.",
            
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  "num_resources": 4,
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  "num_resources": 4,
            
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  "num_tags": 2,
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  "num_tags": 2,
            
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2025-02-24T15:04:07.122089",
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    "created": "2025-02-24T15:04:07.122089",
            
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    "description": "",
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    "description": "",
            
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    "image_url": "",
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    "image_url": "",
            
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "autonomous-manufacturing-ltd",
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    "name": "autonomous-manufacturing-ltd",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "Autonomous Manufacturing Ltd",
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    "title": "Autonomous Manufacturing Ltd",
            
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    "type": "organization"
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    "type": "organization"
            
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  },
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  },
            
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  "owner_org": "f59d8904-f418-45f0-b94b-bc5980219766",
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  "owner_org": "f59d8904-f418-45f0-b94b-bc5980219766",
            
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  "private": false,
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nomous-manufacturing-ltd/smdh-amfg-predictive-tooling-maintenance/SME1 
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nomous-manufacturing-ltd/smdh-amfg-predictive-tooling-maintenance/SME1 
            
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Tooling data.",
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Tooling data.",
            
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      "created": "2025-02-24T17:53:19.676938",
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      "datastore_active": false,
            
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      "description": "Data for the SME1 - including parts created, 
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      "description": "Data for the SME1 - including parts created, 
            
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tools / machines used. part geometry and tooling information. \r\nSME 
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tools / machines used. part geometry and tooling information. \r\nSME 
            
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creates small, bespoke parts.",
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creates small, bespoke parts.",
            
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      "format": "XLSX",
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      "format": "XLSX",
            
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      "name": "SME1 Tooling data.",
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      "name": "SME1 Tooling data.",
            
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      "tags": "Method-Machine_learning",
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      "tags": "Method-Machine_learning",
            
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      "url": 
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      "url": 
            
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ce/9153bbd8-cbeb-4c36-84eb-946eb2ec0b79/download/sme1_smdh_data.xlsx",
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ce/9153bbd8-cbeb-4c36-84eb-946eb2ec0b79/download/sme1_smdh_data.xlsx",
            
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      "url_type": "upload"
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nomous-manufacturing-ltd/smdh-amfg-predictive-tooling-maintenance/SME2 
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nomous-manufacturing-ltd/smdh-amfg-predictive-tooling-maintenance/SME2 
            
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Tooling Data",
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Tooling Data",
            
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      "created": "2025-02-25T12:21:44.983320",
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      "description": "Tooling Data capture from SME2 Shows part pass / 
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      "description": "Tooling Data capture from SME2 Shows part pass / 
            
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failure rate based on the expected v actual tool life calculation.",
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failure rate based on the expected v actual tool life calculation.",
            
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      "name": "SME2 Tooling Data",
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      "name": "SME2 Tooling Data",
            
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      "tags": "Method-Machine_learning",
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      "tags": "Method-Machine_learning",
            
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      "url": 
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      "url": 
            
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ce/f87a6ccb-aa38-42e0-bb4f-8f37c7cfe8c7/download/sme2_smdh_data.xlsx",
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ce/f87a6ccb-aa38-42e0-bb4f-8f37c7cfe8c7/download/sme2_smdh_data.xlsx",
            
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nomous-manufacturing-ltd/smdh-amfg-predictive-tooling-maintenance/SME3 
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nomous-manufacturing-ltd/smdh-amfg-predictive-tooling-maintenance/SME3 
            
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Tooling Data",
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Tooling Data",
            
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      "description": "Tooling and part failure rate for SME3 ",
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      "description": "Tooling and part failure rate for SME3 ",
            
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      "name": "SME3 Tooling Data",
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      "name": "SME3 Tooling Data",
            
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      "state": "active",
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      "state": "active",
            
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      "tags": "Method-Machine_learning",
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      "tags": "Method-Machine_learning",
            
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      "url": 
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      "url": 
            
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91e645df-a6c6-471a-934f-baa3c23de09f/download/sme3-tooling-data.xlsx",
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91e645df-a6c6-471a-934f-baa3c23de09f/download/sme3-tooling-data.xlsx",
            
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      "url_type": "upload"
            
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ing-ltd/smdh-amfg-predictive-tooling-maintenance/SME4_Part_Data.xlsx",
            
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      "description": "Tooling data for SME4 including part level data, 
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      "description": "Tooling data for SME4 including part level data, 
            
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machine level data and tool level data, resulting in a part pass / 
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machine level data and tool level data, resulting in a part pass / 
            
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fail based on tool life remaining compared to maintenance 
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fail based on tool life remaining compared to maintenance 
            
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prediction.",
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prediction.",
            
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      "format": "XLSX",
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      "tags": "Method-Machine_learning",
            
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      "vocabulary_id": "55a807af-3944-4bf2-b2d8-585c8b1b8e04"
188
      "vocabulary_id": "55a807af-3944-4bf2-b2d8-585c8b1b8e04"
            
188
    }
189
    }
            
189
  ],
190
  ],
            
190
  "title": "SMDH / AMFG predictive tooling maintenance",
191
  "title": "SMDH / AMFG predictive tooling maintenance",
            
191
  "type": "dataset",
192
  "type": "dataset",
            
192
  "url": "",
193
  "url": "",
            
193
  "version": "1.0"
194
  "version": "1.0"
            
194
}
195
}