In order to track the running status of the accelerator in real time, discover potential problems in time, reduce the failure rate, and ensure the safety of radiotherapy patients, a linear accelerator quality management monitoring system is designed based on log files. The system adopts B/S architecture, with the server written in Python3.7 language, and is built based on Django2.2.7 framework. The system uses Python3.7 and Pylinac packages to analyze the log files of each plan, obtaining the planned beam quantity, flux gamma pass rate, and position information of multileaf collimator, etc., to realize the quality monitoring of medical linear accelerator, and customize the development of accelerator spare parts and maintenance management modules. According to statistics, after the establishment of the quality management monitoring system, the accelerator has achieved a 16% reduction in failure rate and a 30% reduction in the downtime rate, which ensures its stable operation in clinical settings.
为了能够实时跟踪加速器的运行状态，及时发现潜在问题，降低使用故障率，保障患者放射治疗的安全，该文利用日志文件设计了一款直线加速器质量管理监测系统。系统采用B/S架构，服务端采用 Python3.7语言编写，基于Django2.2.7框架搭建。系统使用Python3.7和Pylinac包对每个计划的日志文件进行解析，获取计划出束量、通量伽马通过率、多叶光栅的位置信息等，实现医用直线加速器质量监测，自定义开发加速器备件和维修管理模块。据统计，建立质量管理监测系统后，加速器减少了16%左右的故障率和30%左右的停机率，确保了医院加速器的稳定运行。.
Keywords: B/S architecture; linear accelerator; multileaf collimator (MLC); preventive maintenance; quality management monitoring system.