A ROOT-Based General Online Data Visualization System

The online data visualization system serves as a crucial component of the data acquisition (DAQ) system, providing swift, efficient, and comprehensive real-time monitoring of the readout chain. Simultaneously, ROOT, an open-source software framework widely used in high-energy physics, provides a variety of analytical tools. Using ROOT-based online histogram monitoring, researchers can efficiently analyze data in real time and detect potential anomalies promptly. To minimize development costs and enhance deployment efficiency, a general online data visualization system based on ROOT has been designed and implemented. This system consists of three main modules: a configuration module, a readout and decoding module, and a data display module. Each module features specific interfaces for seamless integration and expansion. Additionally, the system employs file-based configuration management for minimal modifications when adapting to different experiments. Currently, it supports data source interfaces for Redis and Kafka as well as display interfaces for 1-D and 2-D histograms. The system has been successfully utilized in integration tests across various experiments, thereby enabling efficient and convenient data monitoring.