科技通报
科技通報
과기통보
BULLETIN OF SCIENCE AND TECHNOLOGY
2015年
2期
88-91
,共4页
系统设计%FPGA%KNN粒子聚类%多元监测
繫統設計%FPGA%KNN粒子聚類%多元鑑測
계통설계%FPGA%KNN입자취류%다원감측
system design%FPGA%KNN particle clustering%multiple monitoring
在无线传感器网络构架下,基于FPGA和KNN粒子聚类算法进行系统控制算法设计,提出一种改进的商场多元安防监测系统设计方案,进行系统硬件层设计、系统软件层设计。功能模块设计中进行了商场环境信息采集模块、火灾自动报警模块、温湿度自动预警模块、烟气报警模块和安全防盗模块设计。软件实现中引入商场火灾、温湿度等信息报警数据融合的KNN粒子聚类算法。算法仿真和系统测试结果表明,该系统对数据融合精度较高,聚类性好,为实现多元安防监测提供准确的数据基础,系统功能健全,实时性好,用户终端界面友好,交互性强,稳定性高,具有非常好的应用价值。
在無線傳感器網絡構架下,基于FPGA和KNN粒子聚類算法進行繫統控製算法設計,提齣一種改進的商場多元安防鑑測繫統設計方案,進行繫統硬件層設計、繫統軟件層設計。功能模塊設計中進行瞭商場環境信息採集模塊、火災自動報警模塊、溫濕度自動預警模塊、煙氣報警模塊和安全防盜模塊設計。軟件實現中引入商場火災、溫濕度等信息報警數據融閤的KNN粒子聚類算法。算法倣真和繫統測試結果錶明,該繫統對數據融閤精度較高,聚類性好,為實現多元安防鑑測提供準確的數據基礎,繫統功能健全,實時性好,用戶終耑界麵友好,交互性彊,穩定性高,具有非常好的應用價值。
재무선전감기망락구가하,기우FPGA화KNN입자취류산법진행계통공제산법설계,제출일충개진적상장다원안방감측계통설계방안,진행계통경건층설계、계통연건층설계。공능모괴설계중진행료상장배경신식채집모괴、화재자동보경모괴、온습도자동예경모괴、연기보경모괴화안전방도모괴설계。연건실현중인입상장화재、온습도등신식보경수거융합적KNN입자취류산법。산법방진화계통측시결과표명,해계통대수거융합정도교고,취류성호,위실현다원안방감측제공준학적수거기출,계통공능건전,실시성호,용호종단계면우호,교호성강,은정성고,구유비상호적응용개치。
Under the wireless sensor network framework, based on FPGA and KNN particle clustering algorithm for system control algorithm design, puts forward an improved store multiple security monitoring system design scheme. The paper de?signs the system hardware and software layer. Functional module design finishes the store environment information collec?tion module, automatic fire alarm module, temperature and humidity automatic warning module, smoke alarm module and anti-theft security module. Software implementation is introduced into stores information such as fire, temperature and hu?midity alarm data fusion KNN particle clustering algorithm. Algorithm simulation and system test results show that the sys?tem for data fusion accuracy is higher and clustering’s performance is better. Accurate data basis was provided for realizing the multiple security monitoring, system function, good real-time, terminal user friendly interface, strong interactivity, high stability, has the very good application value.