摘要
为了解心理健康危机预警系统存在的预测精度偏低问题,基于大数据设计了一种新的大学生心理健康危机预警系统。硬件部分设计了OM-70预警数据记录仪和AT24C16N储存芯片。软件部分首先采集处理大学生心理健康预警数据,其次基于大数据设计心理健康预警算法,最后设计预警功能模块,从而实现大学生心理健康危机预警。系统测试结果表明,设计系统的预测精度较高,预测效果较好。
In order to understand the low prediction accuracy of the mental health crisis early warning system, it is necessary to design a new mental health crisis early warning system for college students based on big data. In the hardware part, OM-70 early warning data recorder and AT24C16N memory chip are designed. The software part first collects and processes the early warning data of college students’ mental health, then designs the mental health early warning algorithm based on big data, and finally designs the early warning function module to realize the early warning of college students’ mental health crisis. The system test results show that the prediction accuracy of the designed system is high, which proves that its prediction effect is better.
作者
陈婷婷
李凤
CHEN Tingting;LI Feng(Nanchang University College of Science and Technology,Nanchang Jiangxi 330029,China)
出处
《信息与电脑》
2022年第19期35-37,共3页
Information & Computer
基金
江西省高校人文社会科学研究项目(项目编号:TJ21201)
2021年度江西省教育厅科学技术研究项目(项目编号:GJJ217812)。
