基于微信小程序的眼科参数检测系统设计

Design of Ophthalmic Parameter Detection System Based on WeChat Mini Program

定期的眼部检查在近视防控及眼疾预测中具有关键作用。随着数字化生活方式的普及,电子屏幕使用时间显著增加,从而对眼睛产生潜在损害。文章设计并实施了一种基于微信小程序的眼球参数自动检测系统。该系统通过对眼科光学生物测量仪的互联网化升级,允许用户自行发起并完成检测,同时将结果同步至数据中心并创建个人眼科健康档案。用户可通过小程序轻松访问这些数据。该系统支持无人干预的自动检测,并已成功集成至LUS_1000Plus眼科光学生物测量仪,系统表现稳定,显著提升了检测效率。

Regular eye examinations play a crucial role in myopia control and the prediction of eye diseases.With the widespread adoption of digital lifestyles,the use of electronic screens has significantly increased,thereby potentially harming the eyes.This paper designs and implements an automatic eye parameter detection system based on the WeChat Mini Program.This system,through the internet-based upgrade of the ophthalmic optical biometer,allows users to initiate and complete the detection autonomously,while synchronizing the results to the data center and creating individual ophthalmic health records.Users can easily access these data through the Mini Program.The system supports unattended automatic detection and has been successfully integrated into the LUS_1000Plus ophthalmic optical biometer,demonstrating stable performance and significantly improving detection efficiency.