AI-powered gas leak detection technology improves workplace safety (Record no. 193842)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01502nab a2200205 4500 |
| 008 - CÓDIGOS DE INFORMACIÓN DE LONGITUD FIJA - INFORMACIÓN GENERAL | |
| Campo de control de longitud fija | 260224s2021 xxu ing |
| 041 ## - IDIOMA | |
| Idioma | Inglés |
| 245 00 - TITULO | |
| Título | AI-powered gas leak detection technology improves workplace safety |
| Subtítulo | The new AI module provides pattern-finding automation for gas leak detection. |
| 260 ## - PUBLICACION, DISTRIBUCION, ETC | |
| Lugar de publicación, distribución, etc. | |
| Nombre de publicador, distribuidor, etc. | |
| Fecha de publicación, distribución, etc. | ene. 2021 |
| 270 ## - FECHA DE CARGA | |
| Fecha de carga | 10/03/2021 ; 05/03/2021 |
| 300 ## - DESCRIPCION FISICA | |
| Otra extensión | [c.a.] 2 p. |
| 520 ## - RESUMEN, ETC | |
| Resumen | U.S. oil and gas companies are seeking new technologies to address an old problem: gas leaks. Many organizations have long relied on fixed hardware or manual assessments to monitor leaks. Naturally, the occurrence of a major leak requires immediate response, but detecting the source of a leak from the beginning can ensure a quick and safe correction or evacuation. Blackline Vision, the data science team of Blackline Safety, is developing its AI Gas Leak Detection module, which resolves this issue by leveraging artificial intelligence (AI) to automate the process while providing situational awareness and connectivity. The module provides advance alerts of gas leaks by identifying patterns in low-level gas readings streamed to the Blackline Safety Cloud from G7 wearable gas monitors |
| 581 ## - ESTADO DE COLECCIÓN | |
| Estado de colección | 1 |
| 773 0# - CORRECCIÓN | |
| Título | E & P |
| Partes relacionadas | |
| 942 ## - DESC. DE MATERIAL | |
| Tipo de item KOHA | Artículo de Revista |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Holcomb, Mary |
| 9 (RLIN) | 59947 |
| 856 ## - LINK | |
| Link | <a href="https://epplus.hartenergy.com/issue/january-2021/ai-powered-gas-leak-detection-technology-improves-workplace-safety/">https://epplus.hartenergy.com/issue/january-2021/ai-powered-gas-leak-detection-technology-improves-workplace-safety/</a> |
| Biblioteca propietaria | Biblioteca actual | Fecha de adquisición | Inventario | Total de préstamos | Inventario | Fecha de carga | Tipo de item KOHA |
|---|---|---|---|---|---|---|---|
| Biblioteca virtual | Biblioteca virtual | 06/03/2026 | 200066207 | 200066207 | 06/03/2026 | Artículo de Revista |
