基于行为跟踪的智能防疫监测系统设计与应用

Maopu Wu, Jun Zhu, Guangteng Bian, Caiyun Liu
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引用次数: 1

摘要

新型冠状病毒肺炎传染性强,潜伏期长。为解决新型冠状病毒感染在企事业单位和社区中,肺炎早期和潜伏期的检测和监测、接触人员搜索等问题,基于无体温检测、人员定位轨迹分析、疫情信息填充、数据分析和智能报警等技术,开发了一套智能防疫监测系统。系统具有填写体温报告、返工信息、每日考勤卡、疫情分析报告、可疑人员接触追踪等功能,有助于及时报告和隔离患者进行治疗,为区域疫情综合监测提供强大的数据支持,有效保护人民健康。
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Design and Application of Intelligent Epidemic Prevention Monitoring System Based on Behavior Track
The novel coronavirus pneumonia is highly infectious and has a long incubation period. In order to solve novel coronavirus infection in enterprises, institutions and communities, such as detection and monitoring of early and latent period of pneumonia, contact personnel search and other issues, an intelligent epidemic prevention monitoring system has been developed based on the technologies of no body temperature detection, personnel positioning trajectory analysis, epidemic information filling, data analysis and intelligent alarm. The system has functions of filling in body temperature reports, reworking information, daily attendance cards, epidemic analysis reports, suspicious personnel contact and tracking, etc. it helps to report and isolate patients for treatment timely, and provides powerful data support for comprehensive monitoring of regional epidemic situation, effectively protecting people's health.
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