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.

Hydra 是一种利用计算机视觉进行近实时数据质量管理的系统，最初于 2019 年为 Hall-D 开发。自那时以来，它已经在 Jefferson Lab 的所有实验大厅部署，其中 Hall-B 的 CLAS12 合作团队是继 GlueX 之后首个完全利用 Hydra 的系统。该系统包括后端处理过程，负责管理模型、推断和数据流程。通过网页访问的前端组件允许探测器专家和班组与系统进行交互。本文将概述 Hydra 系统，并突出 Hydra 特性集的重要发展、在所有大厅中操作 Hydra 的急迫挑战以及过程中吸取到的经验教训。