Nov. 27, 2023, 2:14 p.m. |
Added
35
|
{"external_links": []}
|
|
Nov. 20, 2023, 2:04 p.m. |
Added
35
|
{"external_links": []}
|
|
Nov. 13, 2023, 1:34 p.m. |
Added
35
|
{"external_links": []}
|
|
Nov. 6, 2023, 1:32 p.m. |
Added
35
|
{"external_links": []}
|
|
Aug. 14, 2023, 1:31 p.m. |
Added
35
|
{"external_links": []}
|
|
Aug. 7, 2023, 1:32 p.m. |
Added
35
|
{"external_links": []}
|
|
July 31, 2023, 1:35 p.m. |
Added
35
|
{"external_links": []}
|
|
July 24, 2023, 1:36 p.m. |
Added
35
|
{"external_links": []}
|
|
July 17, 2023, 1:35 p.m. |
Added
35
|
{"external_links": []}
|
|
July 10, 2023, 1:26 p.m. |
Added
35
|
{"external_links": []}
|
|
July 3, 2023, 1:27 p.m. |
Added
35
|
{"external_links": []}
|
|
June 26, 2023, 1:26 p.m. |
Added
35
|
{"external_links": []}
|
|
June 19, 2023, 1:27 p.m. |
Added
35
|
{"external_links": []}
|
|
June 12, 2023, 1:30 p.m. |
Added
35
|
{"external_links": []}
|
|
June 5, 2023, 1:34 p.m. |
Added
35
|
{"external_links": []}
|
|
May 29, 2023, 1:28 p.m. |
Added
35
|
{"external_links": []}
|
|
May 22, 2023, 1:29 p.m. |
Added
35
|
{"external_links": []}
|
|
May 15, 2023, 1:32 p.m. |
Added
35
|
{"external_links": []}
|
|
May 8, 2023, 1:38 p.m. |
Added
35
|
{"external_links": []}
|
|
May 1, 2023, 1:28 p.m. |
Added
35
|
{"external_links": []}
|
|
April 24, 2023, 1:35 p.m. |
Added
35
|
{"external_links": []}
|
|
April 17, 2023, 1:28 p.m. |
Added
35
|
{"external_links": []}
|
|
April 10, 2023, 1:25 p.m. |
Added
35
|
{"external_links": []}
|
|
April 3, 2023, 1:27 p.m. |
Added
35
|
{"external_links": []}
|
|
Jan. 28, 2023, 11:09 a.m. |
Created
43
|
[{"model": "core.projectfund", "pk": 31086, "fields": {"project": 8312, "organisation": 4, "amount": 43724, "start_date": "2022-11-01", "end_date": "2023-03-30", "raw_data": 38523}}]
|
|
Jan. 28, 2023, 11:09 a.m. |
Created
41
|
[{"model": "core.projectorganisation", "pk": 88450, "fields": {"project": 8312, "organisation": 10037, "role": "PARTICIPANT_ORG"}}]
|
|
Jan. 28, 2023, 11:09 a.m. |
Created
41
|
[{"model": "core.projectorganisation", "pk": 88449, "fields": {"project": 8312, "organisation": 10037, "role": "LEAD_ORG"}}]
|
|
Jan. 28, 2023, 11:09 a.m. |
Created
40
|
[{"model": "core.projectperson", "pk": 55366, "fields": {"project": 8312, "person": 11640, "role": "PM_PER"}}]
|
|
Jan. 28, 2023, 10:52 a.m. |
Updated
35
|
{"title": ["", "Damage Detection and Diagnostic Platform for Wind Turbines"], "description": ["", "\nThe problem:\n\nHealth monitoring of wind turbine blades is traditionally carried out by people or robots. Apart from being expensive and risky, large volumes of data are gathered which are not effectively investigated as the existing analytical methods do not provide sufficient information. In many cases the outcome is ineffective.\n\nWith the current systems, faults may be discovered during the inspection processes, but what's behind them often isn't. As a result, reports are prepared without knowing the extent of the damage below the surface, which is critical to the life assessment procedure.\n\nOur solution:\n\nCrack Map is developing a solution capable of determining the extent of defects and depth of damages based only on visual surface inspection. Our software provides a map with the precise locations of all existing defects and estimates the remaining life of the component or structure with great detail and accuracy, all without any need for physical contact.\n\nOur Technology:\n\n\u2022Combines Fracture mechanics with Artificial Intelligence to provide the extent of damage below the surface.\n\n\u2022Creates 3D model of the structure with the exact map of damages and their associated severity.\n\n\u2022Accessible as both cloud-based platform and standalone software.\n\n\u2022Can be used as a tool for both decommissioning and archiving.\n\nBenefits:\n\n\u2022Using our efficient and affordable, cloud-based software, you can instantly generate a detailed, 3D model of an affected area, or item of equipment, all within a single file, compatible with other commercial software packages.\n\n\u2022Our process allows you to identify faults and problems in large, industrial settings up to thirty times faster than traditional inspection methods.\n\n\u2022By automating expensive and time-consuming tasks, you can instantly improve your organisation's operational efficiency, reduce costs, and minimise the risk of workplace injuries.\n\n\u2022Crack Map's platform also resolves the challenges with data handling and archiving.\n\n"], "extra_text": ["", "\n\n\n\n"], "status": ["", "Active"]}
|
|
Jan. 28, 2023, 10:52 a.m. |
Added
35
|
{"external_links": [34015]}
|
|
Jan. 28, 2023, 10:52 a.m. |
Created
35
|
[{"model": "core.project", "pk": 8312, "fields": {"owner": null, "is_locked": false, "coped_id": "c9df7d4b-c976-44b5-8119-19d9a47252f0", "title": "", "description": "", "extra_text": "", "status": "", "start": null, "end": null, "raw_data": 38510, "created": "2023-01-28T10:48:11.060Z", "modified": "2023-01-28T10:48:11.060Z", "external_links": []}}]
|
|