History of changes to: A novel, non-contact, thermal imaging sensor assembly for continuous bogie monitoring from Rail Vision Ltd
Date Action Change(s) User
Nov. 27, 2023, 2:12 p.m. Added 35 {"external_links": []}
Nov. 20, 2023, 2:02 p.m. Added 35 {"external_links": []}
Nov. 13, 2023, 1:33 p.m. Added 35 {"external_links": []}
Nov. 6, 2023, 1:31 p.m. Added 35 {"external_links": []}
Aug. 14, 2023, 1:30 p.m. Added 35 {"external_links": []}
Aug. 7, 2023, 1:31 p.m. Added 35 {"external_links": []}
July 31, 2023, 1:34 p.m. Added 35 {"external_links": []}
July 24, 2023, 1:35 p.m. Added 35 {"external_links": []}
July 17, 2023, 1:34 p.m. Added 35 {"external_links": []}
July 10, 2023, 1:26 p.m. Added 35 {"external_links": []}
July 3, 2023, 1:26 p.m. Added 35 {"external_links": []}
June 26, 2023, 1:25 p.m. Added 35 {"external_links": []}
June 19, 2023, 1:27 p.m. Added 35 {"external_links": []}
June 12, 2023, 1:29 p.m. Added 35 {"external_links": []}
June 5, 2023, 1:33 p.m. Added 35 {"external_links": []}
May 29, 2023, 1:27 p.m. Added 35 {"external_links": []}
May 22, 2023, 1:28 p.m. Added 35 {"external_links": []}
May 15, 2023, 1:31 p.m. Added 35 {"external_links": []}
May 8, 2023, 1:37 p.m. Added 35 {"external_links": []}
May 1, 2023, 1:27 p.m. Added 35 {"external_links": []}
April 24, 2023, 1:34 p.m. Added 35 {"external_links": []}
April 17, 2023, 1:28 p.m. Added 35 {"external_links": []}
April 10, 2023, 1:24 p.m. Added 35 {"external_links": []}
April 3, 2023, 1:26 p.m. Added 35 {"external_links": []}
Jan. 28, 2023, 11:08 a.m. Created 43 [{"model": "core.projectfund", "pk": 26754, "fields": {"project": 3944, "organisation": 4, "amount": 250000, "start_date": "2015-01-01", "end_date": "2016-12-31", "raw_data": 42500}}]
Jan. 28, 2023, 10:52 a.m. Added 35 {"external_links": []}
April 11, 2022, 3:46 a.m. Created 43 [{"model": "core.projectfund", "pk": 18859, "fields": {"project": 3944, "organisation": 4, "amount": 250000, "start_date": "2015-01-01", "end_date": "2016-12-31", "raw_data": 18682}}]
April 11, 2022, 3:46 a.m. Created 41 [{"model": "core.projectorganisation", "pk": 72113, "fields": {"project": 3944, "organisation": 5471, "role": "LEAD_ORG"}}]
April 11, 2022, 1:47 a.m. Updated 35 {"title": ["", "A novel, non-contact, thermal imaging sensor assembly for continuous bogie monitoring from Rail Vision Ltd"], "description": ["", "\nTrain accidents are often due to worn bogie parts (wheels, axles, brakes & bearings)\noverheating, breaking, & derailing the wagon affected. To identify this heat, Hot Axle Box &\nHot Wheel (HABD/HWD) detection units are mounted at the track side. HABD/HWD use\ninfrared (IR) sensors to makes point based measurements of passing bogie IR radiation, which\nis converted into electric voltages & displayed as absolute temperatures. There are limitations\nwith HABD/HWD, such as sampling of incorrect target points giving inaccurate information,\nas well as detrimental effects from solar radiation. ~10% of heat derailments occur despite the\ntrain having previously passed a HABD/HWD \u2013 likely an underestimate, as Germany, where\nmost EU HABD/HWD are installed, has the highest number of heat-related derailments.\nThe opportunity is for Rail Vision to develop a system to detect heat from bogies via a\n£582,405, 24-month development of prototype project. This low-cost, undercarriage-mounted\ndigital thermopile array module (DTAM), coupled to an optical camera, creates a continuous\nbogie monitoring system (CBMS). The CBMS tracks & records heat, merged with optical\ndata from the bogie to provide more accurate information than HABD/HWD, & enabling\nremote, real-time monitoring (RTM) of the bogie. The CBMS will detect a gradient of\ntemperature across a cross-section of the component being monitored \u2013 to do this, RV will\ngenerate bespoke algorithms, data communication protocols & software platforms to collect,\ntrack & monitor data, & alert. CBMS RTM enables more accurate evaluation of temperature\nanomalies than isolated IR HABD/HWD sampling \u2013 for customers, this will result in greater\nsafety of their rolling stock, and maintenance cost improvements. The CBMS supersedes\nHABD/HWD by monitoring temperature across cross-sections of bogies vs. isolated areas,\nallowing the user to accurately pinpoint heat anomalies via merging with optical imaging, &\ntracking & building a history of bogie performance\n\n"], "extra_text": ["", "\n\n\n\n"], "status": ["", "Closed"]}
April 11, 2022, 1:47 a.m. Added 35 {"external_links": [15227]}
April 11, 2022, 1:47 a.m. Created 35 [{"model": "core.project", "pk": 3944, "fields": {"owner": null, "is_locked": false, "coped_id": "ec044c76-f2e8-4a4a-9db2-9b9fdc927426", "title": "", "description": "", "extra_text": "", "status": "", "start": null, "end": null, "raw_data": 18668, "created": "2022-04-11T01:37:37.446Z", "modified": "2022-04-11T01:37:37.446Z", "external_links": []}}]