In order to improve the transmission accuracy and efficiency of sensing and actuating signals in Internet of Things(IoT) and ensure the system stability,an adaptive resource allocation algorithm is proposed,which dyna...In order to improve the transmission accuracy and efficiency of sensing and actuating signals in Internet of Things(IoT) and ensure the system stability,an adaptive resource allocation algorithm is proposed,which dynamically assigns the network bandwidth and priority among components according to their signals' frequency domain characteristics.A remote sensed and controlled unmanned ground vehicle(UGV) path tracking test-bed was developed and multiple UGV's tracking error signals were measured in the simulation for performance evaluation.Results show that with the same network bandwidth constraints,the proposed algorithm can reduce the accumulated and maximum errors of UGV path tracking by over 60% compared with the conventional static algorithm.展开更多
针对目前智能楼宇监测中数据可靠性低、测量点位分散、数据传输实时性不高和误报频繁等问题,提出基于物联网(Internet of Things,IoT)技术的智能楼宇监测系统设计。首先,采用ZigBee技术组建无线传感器网络,实现分散点位传感器数据的收集...针对目前智能楼宇监测中数据可靠性低、测量点位分散、数据传输实时性不高和误报频繁等问题,提出基于物联网(Internet of Things,IoT)技术的智能楼宇监测系统设计。首先,采用ZigBee技术组建无线传感器网络,实现分散点位传感器数据的收集,并将数据通过网关传输到物联网云平台。其次,利用改进的自适应加权算法融合传感器数据,有效提升多传感器检测数据的准确性。系统云平台能够分析和展示传感器数据,而且能够实时查看待测区域的视频图像,预留数据分析接口。应用表明,系统数据测量准确、相对误差较低、稳定性较好。展开更多
随着国家层面“碳达峰、碳中和”目标的确立,我国对清洁能源的需求与日俱增。利用物联网(Internet of Things,IoT)、大数据、人工智能(Artificial Intelligence,AI)等当今先进技术提升光伏(Photovoltaic,PV)电站运营效率得到广泛关注。...随着国家层面“碳达峰、碳中和”目标的确立,我国对清洁能源的需求与日俱增。利用物联网(Internet of Things,IoT)、大数据、人工智能(Artificial Intelligence,AI)等当今先进技术提升光伏(Photovoltaic,PV)电站运营效率得到广泛关注。设计一套完整的光伏电站智能监控系统,通过对光伏发电区、变配电设备区、电站运维区等关键场景实施布控,利用边缘智能硬件装置采集光伏组件、逆变器、并网柜、储能柜及变配电柜等关键设备及各气象元素数据,通过光伏电站智能监控软件平台数据分析、实时告警、智能诊断、远程巡检等功能实时感知光伏电站发电营收及设备运行情况,有效提升光伏电站发电效率,减少电站本地运维人员成本开销。展开更多
随着高等教育事业的不断发展,各高校实验室规模不断扩大,实验室数量随之增加,实验室安全事故的发生率也随之上涨。传统的实验室管理方式已经不能满足高校管理实验室的需求,因此提出了一种基于物联网(Internet of Things,IoT)技术的高校...随着高等教育事业的不断发展,各高校实验室规模不断扩大,实验室数量随之增加,实验室安全事故的发生率也随之上涨。传统的实验室管理方式已经不能满足高校管理实验室的需求,因此提出了一种基于物联网(Internet of Things,IoT)技术的高校实验室安全防护系统。系统基于物联网技术设计嵌入式硬件平台和软件平台,实现了用户考勤、实验室设备实时监控、实验室环境监控以及实验室安全事故预警等功能。研究成果可为高校实验室安全防护系统设计提供参考。展开更多
基金Supported by Natural Science Foundation of Tianjin (No. 07JCZDJC05800)Science and Technology Supporting Plan of Tianjin (No. 09ZCKFGX29200)
文摘In order to improve the transmission accuracy and efficiency of sensing and actuating signals in Internet of Things(IoT) and ensure the system stability,an adaptive resource allocation algorithm is proposed,which dynamically assigns the network bandwidth and priority among components according to their signals' frequency domain characteristics.A remote sensed and controlled unmanned ground vehicle(UGV) path tracking test-bed was developed and multiple UGV's tracking error signals were measured in the simulation for performance evaluation.Results show that with the same network bandwidth constraints,the proposed algorithm can reduce the accumulated and maximum errors of UGV path tracking by over 60% compared with the conventional static algorithm.
基金This work was supported in part by the National Natural Science Foundation of China under Grant No. 61361166005, the National High Technology Research and Development Program of China under Grant No. 2014AA01A701, the National Basic Research Program of China (973 Program) under Grant No. 2013CB336600, and the State Major Science and Technology Special Projects (Grant No. 2016ZX03001020-006).
文摘针对目前智能楼宇监测中数据可靠性低、测量点位分散、数据传输实时性不高和误报频繁等问题,提出基于物联网(Internet of Things,IoT)技术的智能楼宇监测系统设计。首先,采用ZigBee技术组建无线传感器网络,实现分散点位传感器数据的收集,并将数据通过网关传输到物联网云平台。其次,利用改进的自适应加权算法融合传感器数据,有效提升多传感器检测数据的准确性。系统云平台能够分析和展示传感器数据,而且能够实时查看待测区域的视频图像,预留数据分析接口。应用表明,系统数据测量准确、相对误差较低、稳定性较好。
文摘随着国家层面“碳达峰、碳中和”目标的确立,我国对清洁能源的需求与日俱增。利用物联网(Internet of Things,IoT)、大数据、人工智能(Artificial Intelligence,AI)等当今先进技术提升光伏(Photovoltaic,PV)电站运营效率得到广泛关注。设计一套完整的光伏电站智能监控系统,通过对光伏发电区、变配电设备区、电站运维区等关键场景实施布控,利用边缘智能硬件装置采集光伏组件、逆变器、并网柜、储能柜及变配电柜等关键设备及各气象元素数据,通过光伏电站智能监控软件平台数据分析、实时告警、智能诊断、远程巡检等功能实时感知光伏电站发电营收及设备运行情况,有效提升光伏电站发电效率,减少电站本地运维人员成本开销。
文摘随着高等教育事业的不断发展,各高校实验室规模不断扩大,实验室数量随之增加,实验室安全事故的发生率也随之上涨。传统的实验室管理方式已经不能满足高校管理实验室的需求,因此提出了一种基于物联网(Internet of Things,IoT)技术的高校实验室安全防护系统。系统基于物联网技术设计嵌入式硬件平台和软件平台,实现了用户考勤、实验室设备实时监控、实验室环境监控以及实验室安全事故预警等功能。研究成果可为高校实验室安全防护系统设计提供参考。