{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,12,2]],"date-time":"2023-12-02T00:50:07Z","timestamp":1701478207782},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684444","type":"print"},{"value":"9781643684451","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,11,30]],"date-time":"2023-11-30T00:00:00Z","timestamp":1701302400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,11,30]]},"abstract":"<jats:p>Conventional field safety operation safety situation awareness methods mainly use UWB (Ultra Wide Band) tags for safety situation awareness, which is vulnerable to noise interference, resulting in high deviation of safety situation awareness prediction indicators. Therefore, a new field safety operation safety situation awareness method needs to be designed based on fusion video and AI. That is to say, using fusion video and AI to build a cloud center for on-site safe work safety situational awareness, and design an effective algorithm for operational safety situational awareness, so as to achieve on-site safe work safety situational awareness. The experimental results show that the safety situation awareness prediction indicators generated by the designed safety situation awareness method at different operation points are more consistent with the actual safety situation awareness indicators, which proves that the designed safety situation awareness method has good perception effect, reliability, and certain application value, and has made certain contributions to reducing the subsequent safety risks of on-site operations.<\/jats:p>","DOI":"10.3233\/faia230866","type":"book-chapter","created":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T15:55:21Z","timestamp":1701446121000},"source":"Crossref","is-referenced-by-count":0,"title":["Safety Situation Awareness Method for On-Site Safe Operation Based on Video and AI"],"prefix":"10.3233","author":[{"given":"Chong","family":"Yang","sequence":"first","affiliation":[{"name":"Changqing Engineering Design CO., Ltd xi\u2019an Shaanxi, China 710018"}]},{"given":"Rongmin","family":"Wang","sequence":"additional","affiliation":[{"name":"Changqing Engineering Design CO., Ltd xi\u2019an Shaanxi, China 710018"}]},{"given":"Hualong","family":"Li","sequence":"additional","affiliation":[{"name":"Changqing Engineering Design CO., Ltd xi\u2019an Shaanxi, China 710018"}]},{"given":"Xinwei","family":"Yao","sequence":"additional","affiliation":[{"name":"Changqing Engineering Design CO., Ltd xi\u2019an Shaanxi, China 710018"}]},{"given":"Wei","family":"Li","sequence":"additional","affiliation":[{"name":"Changqing Engineering Design CO., Ltd xi\u2019an Shaanxi, China 710018"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Advances in Artificial Intelligence, Big Data and Algorithms"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA230866","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T15:55:24Z","timestamp":1701446124000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA230866"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,30]]},"ISBN":["9781643684444","9781643684451"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia230866","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11,30]]}}}