Development of a web-based visualization platform enhances data accessibility and monitoring in the CEE slow control system, combining MySQL and MongoDB.
A dedicated slow control system has been designed and implemented at the Cooling Storage Ring External-target Experiment (CEE) spectrometer, providing low-latency monitoring and control capabilities, along with robust data storage and archival functions. To meet the increasing requirements for high-throughput and high-frequency low-latency data processing, we have adopted a hybrid database architecture that effectively combines relational (MySQL) and non-relational (MongoDB) systems to enable optimized, differentiated data storage solutions. A web-based visualization system employing frontend-backend separation has been implemented, utilizing Vue framework for frontend development and Spring Boot for backend implementation. The platform enables researchers to systematically manage experimental devices and process variables, supporting both historical data analysis and low-latency experimental monitoring. Additionally, a complementary WeChat mini-program has been developed to extend remote data monitoring and reception capabilities. Through systematic architectural integration, this solution significantly enhances experimental workflow efficiency and data accessibility, delivering robust technical support for CEE facility operations. System validation and field tests with beam have confirmed significant improvements in research productivity while ensuring data integrity and operational stability.
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