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基于LoRa的大规模集成电路工业洁净室沉降菌动态监测系统 被引量:1

LoRa-based Dynamic Monitoring System for Settling Bacteria in Large-scale Integrated Circuit Industrial Clean Room
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摘要 构建基于LoRa的大规模集成电路工业洁净室沉降菌动态监测的无线传感器组网模型,采用LoRa技术实现对工业洁净室沉降菌动态监测的节点优化部署,结合随机路由探测和最短路径寻优方法,实现对工业洁净室沉降菌动态监测的节点动态控制和路由协议设计。设计计数电路实现对动态监测数据的计数处理,通过滤波检测器实现工业洁净室沉降菌动态监测和滤波控制,提高监测的稳定性和准确性,在嵌入式的集成DSP信息处理器中实现对系统的硬件集成开发设计。仿真测试结果表明,设计的动态监测系统稳定性较好,准确度较高,动态监测能力较强。 A wireless sensor network model for dynamic monitoring of settling bacteria in large-scale integrated circuit industrial clean room based on Lora is constructed.Lora technology is used to realize the optimal deployment of nodes for dynamic monitoring of settling bacteria in industrial clean room.Combined with random route detection and shortest path optimization method,the node dynamic control and routing protocol design for dynamic monitoring of settling bacteria in industrial clean room are realized.The counting circuit is designed to count and process the data of dynamic monitoring of settling bacteria in industrial clean room of large-scale integrated circuit.The dynamic monitoring and filtering control of settling bacteria in industrial clean room are realized by filter detector.The stability and accuracy of monitoring are improved.The hardware integration design of the system is realized in the embedded integrated DSP information processor.The simulation test results show that the dynamic monitoring system of settling bacteria in industrial clean room has good stability,high accuracy and strong dynamic monitoring ability.
作者 张震 盖昊宇 朱炼 Zhang Zhen;Gai Haoyu;Zhu Lian(Anhui Business and Technology College,Hefei 231131,China)
出处 《廊坊师范学院学报(自然科学版)》 2021年第4期65-69,共5页 Journal of Langfang Normal University(Natural Science Edition)
基金 安徽省高等学校自然科学研究重点项目“基于LoRa的电子行业工业洁净室环境监控系统研究”(KJ2020A1096) 安徽省高等学校自然科学研究重点项目“基于物联网的SMT车间环境监控系统研究”(KJ2019A1167) 安徽省省级质量工程项目“安徽工商职业学院安徽百视达科技有限公司创新实践基地”(2020sjjd016)。
关键词 LoRa技术 大规模集成电路 工业洁净室 沉降菌动态监测 滤波控制 LoRa technology large scale integrated circuit industrial clean room dynamic monitoring of settling bacteria filter control
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