Hydra is a system which utilizes computer vision to perform near real time data quality management, initially developed for Hall-D in 2019. Since then, it has been deployed across all experimental halls at Jefferson Lab, with the CLAS12 collaboration in Hall-B being the first outside of GlueX to fully utilize Hydra. The system comprises back end processes that manage the models, their inferences, and the data flow. The front-end components, accessible via web pages, allow detector experts and shift crews to view and interact with the system. This talk will give an overview of the Hydra system as well as highlight significant developments in Hydra's feature set, acute challenges with operating Hydra in all halls, and lessons learned along the way.

翻译：摘要：Hydra 是一个利用计算机视觉实现近实时数据质量管理的系统，最初于2019年为霍尔D（Hall-D）开发。此后，该系统已部署至杰斐逊实验室的所有实验大厅，其中霍尔B（Hall-B）的CLAS12合作组成为GlueX之外首个全面应用Hydra的团队。系统包含后端进程，负责管理模型、模型推理及数据流；而前端组件可通过网页访问，使探测器专家和值班团队能够查看并与系统交互。本报告将概述Hydra系统，重点介绍其功能集的重大进展、在各实验大厅运行Hydra的严峻挑战，以及在此过程中积累的经验教训。