Changes
On February 25, 2025 at 12:21:45 PM UTC,
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Added resource SME2 Tooling Data to SMDH / AMFG predictive tooling maintenance
f | 1 | { | f | 1 | { |
2 | "author": "Toby Dukes", | 2 | "author": "Toby Dukes", | ||
3 | "author_email": "toby.dukes@amfg.ai", | 3 | "author_email": "toby.dukes@amfg.ai", | ||
4 | "cloud_storage_key_segment": | 4 | "cloud_storage_key_segment": | ||
5 | "smdh-amfg-predictive-tooling-maintenance", | 5 | "smdh-amfg-predictive-tooling-maintenance", | ||
6 | "creator_user_id": "1a7e53fd-7c0f-4751-80ed-46abbbec41eb", | 6 | "creator_user_id": "1a7e53fd-7c0f-4751-80ed-46abbbec41eb", | ||
7 | "groups": [], | 7 | "groups": [], | ||
8 | "id": "b21a9006-60f7-4a45-ba1b-cbb5e99d9251", | 8 | "id": "b21a9006-60f7-4a45-ba1b-cbb5e99d9251", | ||
9 | "isopen": false, | 9 | "isopen": false, | ||
10 | "license_id": "notspecified", | 10 | "license_id": "notspecified", | ||
11 | "license_title": "License not specified", | 11 | "license_title": "License not specified", | ||
12 | "maintainer": "Toby Dukes", | 12 | "maintainer": "Toby Dukes", | ||
13 | "maintainer_email": "toby.dukes@amfg.ai", | 13 | "maintainer_email": "toby.dukes@amfg.ai", | ||
14 | "metadata_created": "2025-02-24T17:51:14.568612", | 14 | "metadata_created": "2025-02-24T17:51:14.568612", | ||
n | 15 | "metadata_modified": "2025-02-24T17:53:49.473368", | n | 15 | "metadata_modified": "2025-02-25T12:21:44.968993", |
16 | "name": | 16 | "name": | ||
17 | tonomous-manufacturing-ltd--smdh-amfg-predictive-tooling-maintenance", | 17 | tonomous-manufacturing-ltd--smdh-amfg-predictive-tooling-maintenance", | ||
18 | "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 | ||
20 | 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 | ||
21 | testbeds that were used for data collection. The data varies slightly | 21 | testbeds that were used for data collection. The data varies slightly | ||
22 | per testbed based on machines and tools used.", | 22 | per testbed based on machines and tools used.", | ||
n | 23 | "num_resources": 1, | n | 23 | "num_resources": 2, |
24 | "num_tags": 2, | 24 | "num_tags": 2, | ||
25 | "organization": { | 25 | "organization": { | ||
26 | "approval_status": "approved", | 26 | "approval_status": "approved", | ||
27 | "created": "2025-02-24T15:04:07.122089", | 27 | "created": "2025-02-24T15:04:07.122089", | ||
28 | "description": "", | 28 | "description": "", | ||
29 | "id": "f59d8904-f418-45f0-b94b-bc5980219766", | 29 | "id": "f59d8904-f418-45f0-b94b-bc5980219766", | ||
30 | "image_url": "", | 30 | "image_url": "", | ||
31 | "is_organization": true, | 31 | "is_organization": true, | ||
32 | "name": "autonomous-manufacturing-ltd", | 32 | "name": "autonomous-manufacturing-ltd", | ||
33 | "state": "active", | 33 | "state": "active", | ||
34 | "title": "Autonomous Manufacturing Ltd", | 34 | "title": "Autonomous Manufacturing Ltd", | ||
35 | "type": "organization" | 35 | "type": "organization" | ||
36 | }, | 36 | }, | ||
37 | "owner_org": "f59d8904-f418-45f0-b94b-bc5980219766", | 37 | "owner_org": "f59d8904-f418-45f0-b94b-bc5980219766", | ||
38 | "private": false, | 38 | "private": false, | ||
39 | "relationships_as_object": [], | 39 | "relationships_as_object": [], | ||
40 | "relationships_as_subject": [], | 40 | "relationships_as_subject": [], | ||
41 | "resources": [ | 41 | "resources": [ | ||
42 | { | 42 | { | ||
43 | "cache_last_updated": null, | 43 | "cache_last_updated": null, | ||
44 | "cache_url": null, | 44 | "cache_url": null, | ||
45 | "cloud_storage_key": | 45 | "cloud_storage_key": | ||
46 | nomous-manufacturing-ltd/smdh-amfg-predictive-tooling-maintenance/SME1 | 46 | nomous-manufacturing-ltd/smdh-amfg-predictive-tooling-maintenance/SME1 | ||
47 | Tooling data.", | 47 | Tooling data.", | ||
48 | "created": "2025-02-24T17:53:19.676938", | 48 | "created": "2025-02-24T17:53:19.676938", | ||
49 | "datastore_active": false, | 49 | "datastore_active": false, | ||
50 | "description": "Data for the SME1 - including parts created, | 50 | "description": "Data for the SME1 - including parts created, | ||
51 | tools / machines used. part geometry and tooling information. \r\nSME | 51 | tools / machines used. part geometry and tooling information. \r\nSME | ||
52 | creates small, bespoke parts.", | 52 | creates small, bespoke parts.", | ||
53 | "format": "XLSX", | 53 | "format": "XLSX", | ||
54 | "hash": "", | 54 | "hash": "", | ||
55 | "id": "9153bbd8-cbeb-4c36-84eb-946eb2ec0b79", | 55 | "id": "9153bbd8-cbeb-4c36-84eb-946eb2ec0b79", | ||
56 | "last_modified": null, | 56 | "last_modified": null, | ||
57 | "metadata_modified": "2025-02-24T17:53:23.382418", | 57 | "metadata_modified": "2025-02-24T17:53:23.382418", | ||
58 | "mimetype": null, | 58 | "mimetype": null, | ||
59 | "mimetype_inner": null, | 59 | "mimetype_inner": null, | ||
60 | "name": "SME1 Tooling data.", | 60 | "name": "SME1 Tooling data.", | ||
61 | "package_id": "b21a9006-60f7-4a45-ba1b-cbb5e99d9251", | 61 | "package_id": "b21a9006-60f7-4a45-ba1b-cbb5e99d9251", | ||
62 | "position": 0, | 62 | "position": 0, | ||
63 | "resource_type": null, | 63 | "resource_type": null, | ||
64 | "size": 126831, | 64 | "size": 126831, | ||
65 | "state": "active", | 65 | "state": "active", | ||
66 | "tags": "Method-Machine_learning", | 66 | "tags": "Method-Machine_learning", | ||
67 | "url": | 67 | "url": | ||
68 | ce/9153bbd8-cbeb-4c36-84eb-946eb2ec0b79/download/sme1_smdh_data.xlsx", | 68 | ce/9153bbd8-cbeb-4c36-84eb-946eb2ec0b79/download/sme1_smdh_data.xlsx", | ||
69 | "url_type": "upload" | 69 | "url_type": "upload" | ||
n | n | 70 | }, | ||
71 | { | ||||
72 | "cache_last_updated": null, | ||||
73 | "cache_url": null, | ||||
74 | "cloud_storage_key": | ||||
75 | nomous-manufacturing-ltd/smdh-amfg-predictive-tooling-maintenance/SME2 | ||||
76 | Tooling Data", | ||||
77 | "created": "2025-02-25T12:21:44.983320", | ||||
78 | "datastore_active": false, | ||||
79 | "description": "Tooling Data capture from SME2 Shows part pass / | ||||
80 | failure rate based on the expected v actual tool life calculation.", | ||||
81 | "format": "XMLS", | ||||
82 | "hash": "", | ||||
83 | "id": "f87a6ccb-aa38-42e0-bb4f-8f37c7cfe8c7", | ||||
84 | "last_modified": null, | ||||
85 | "metadata_modified": "2025-02-25T12:21:44.973644", | ||||
86 | "mimetype": null, | ||||
87 | "mimetype_inner": null, | ||||
88 | "name": "SME2 Tooling Data", | ||||
89 | "package_id": "b21a9006-60f7-4a45-ba1b-cbb5e99d9251", | ||||
90 | "position": 1, | ||||
91 | "resource_type": null, | ||||
92 | "size": 994904, | ||||
93 | "state": "active", | ||||
94 | "tags": "Method-Machine_learning", | ||||
95 | "url": | ||||
96 | ce/f87a6ccb-aa38-42e0-bb4f-8f37c7cfe8c7/download/sme2_smdh_data.xlsx", | ||||
97 | "url_type": "upload" | ||||
70 | } | 98 | } | ||
71 | ], | 99 | ], | ||
72 | "share_internally": true, | 100 | "share_internally": true, | ||
73 | "state": "active", | 101 | "state": "active", | ||
74 | "tags": [ | 102 | "tags": [ | ||
75 | { | 103 | { | ||
76 | "display_name": "Method-Machine_learning", | 104 | "display_name": "Method-Machine_learning", | ||
77 | "id": "1e5e8aa0-953c-4432-b042-505a9be6e22c", | 105 | "id": "1e5e8aa0-953c-4432-b042-505a9be6e22c", | ||
78 | "name": "Method-Machine_learning", | 106 | "name": "Method-Machine_learning", | ||
79 | "state": "active", | 107 | "state": "active", | ||
80 | "vocabulary_id": "55a807af-3944-4bf2-b2d8-585c8b1b8e04" | 108 | "vocabulary_id": "55a807af-3944-4bf2-b2d8-585c8b1b8e04" | ||
81 | }, | 109 | }, | ||
82 | { | 110 | { | ||
83 | "display_name": "Method-Machine_learning", | 111 | "display_name": "Method-Machine_learning", | ||
84 | "id": "dc7d30cc-966f-4eaa-8485-3c86b7413c3d", | 112 | "id": "dc7d30cc-966f-4eaa-8485-3c86b7413c3d", | ||
85 | "name": "Method-Machine_learning", | 113 | "name": "Method-Machine_learning", | ||
86 | "state": "active", | 114 | "state": "active", | ||
87 | "vocabulary_id": null | 115 | "vocabulary_id": null | ||
88 | }, | 116 | }, | ||
89 | { | 117 | { | ||
90 | "name": "Method-Machine_learning", | 118 | "name": "Method-Machine_learning", | ||
91 | "vocabulary_id": "55a807af-3944-4bf2-b2d8-585c8b1b8e04" | 119 | "vocabulary_id": "55a807af-3944-4bf2-b2d8-585c8b1b8e04" | ||
t | t | 120 | }, | ||
121 | { | ||||
122 | "name": "Method-Machine_learning", | ||||
123 | "vocabulary_id": "55a807af-3944-4bf2-b2d8-585c8b1b8e04" | ||||
92 | } | 124 | } | ||
93 | ], | 125 | ], | ||
94 | "title": "SMDH / AMFG predictive tooling maintenance", | 126 | "title": "SMDH / AMFG predictive tooling maintenance", | ||
95 | "type": "dataset", | 127 | "type": "dataset", | ||
96 | "url": "", | 128 | "url": "", | ||
97 | "version": "1.0" | 129 | "version": "1.0" | ||
98 | } | 130 | } |