高斯信道下针对LoRa调制的信噪比估计改进算法

信噪比是LoRa自适应网络中实现发射参数准确自适应调节的重要标准,为了增加LoRa调制下信噪比估计的准确性和稳定性,在基于谱分析的信噪比估计算法的基础上,根据LoRa调制解调的特点,提出了一种针对LoRa调制的信噪比估计改进算法。在高斯信道下,利用LoRa解调频谱峰值代表接收信号、其他谱线与噪声具有相关性的特点,定义了信噪比估计参数r,并通过实验确定了不同SF值时信噪比估计参数r与信噪比之间的经验公式,从而准确估计信噪比。仿真结果表明,在最好的情况下改进算法能够准确估计的信噪比提高了-5 dB,以2 dB为标准改进算法的均方根误差能够达到时的信噪比提升了-14 dB,因此与基于谱分析的信噪比估计算法相比,改进算法具有更高的准确性和稳定性。     

基于LoRa和STM32的路灯自动监控系统的研究

如今大部分地区的路灯系统还处在传统控制方式、现场人工巡检、传统电路故障排查、没有统一管理平台等阶段,从而造成了巨大的能源浪费.针对以上现状,设计了一种基于LoRa和STM32的路灯自动监控系统.系统以STM32系列的MCU为核心处理器,通过4G通信网络实现路灯与后台服务器之间的数据传输,采用L o Ra级联组网方式,设计有蓝牙接口,方便用户现场维护及参数设置.系统主要功能有路灯状态实时监测与控制、实时智能调光、地理位置检测、环境信息数据采集、故障信息实时检测与报警、电量信息实时检测与预警等.实验结果表明,该系统稳定可靠,数据采集准确,能广泛应用于路灯系统中,为社会节约电能,能有效地提高路灯科学管理水平,提升路灯所在地区的形象.     

融合定位系统的变电站在线防误系统

针对变电站五防电脑钥匙在离线操作模式下存在的误操作和走空程隐患,以及操作人员误入带电间隔等风险,基于远距离无线电(long range radio, LoRa)通信技术和超宽带-载波相位差分(ultra wide band and real-time kinematic, UWB-RTK)定位技术,研发了一种融合定位系统的在线防误系统。智能电脑钥匙在倒闸操作前,通过LoRa通信链路实时请求防误主机校验逻辑规则,倒闸操作后向防误主机回传操作票验证执行结果。定位系统通过操作人员携带的一体化定位终端,采集人员位置信息并共享给防误主机。防误主机在执行操作票时,通过核对人员与被操作设备位置信息的匹配情况,解锁或闭锁电脑钥匙操作权限。测试结果表明,该系统实现了操作过程中设备、人员、操作各要素的在线监视和管控,可有效地降低倒闸操作的安全风险。     

LoRa物理层同步及解调性能研究

针对现有的基于FFT的同步算法误差较大的问题,提出了一种优化的LoRa物理层前导码同步方法。首先,根据Chirp信号的时频转换特性,分别采用差分算法和插值算法对前导信号的归一化的小数频偏和小数时延进行估计,在此基础上采用基于FFT同步的联合估计算法对整数频偏和整数时延进行估计;之后,从理论上分析残余的同步误差对LoRa信号解调性能的影响。仿真结果表明,所提出的同步方案可以在相应信噪比极限下满足解调性能要求。     

An Internet of Energy Things Based on Wireless LPWAN

Under intense environmental pressure, the global energy sector is promoting the integration of renewable energy into interconnected energy systems. The demand-side management (DSM) of energy systems has drawn considerable industrial and academic attention in attempts to form new flexibilities to respond to variations in renewable energy inputs to the system. However, many DSM concepts are still in the experimental demonstration phase. One of the obstacles to DSM usage is that the current information infrastructure was mainly designed for centralized systems, and does not meet DSM requirements. To overcome this barrier, this paper proposes a novel information infrastructure named the Internet of Energy Things (IoET) in order to make DSM practicable by basing it on the latest wireless communication technology: the low-power wide-area network (LPWAN). The primary advantage of LPWAN over general packet radio service (GPRS) and area Internet of Things (IoT) is its wide-area coverage, which comes with minimum power consumption and maintenance costs. Against this background, this paper briefly reviews the representative LPWAN technologies of narrow-band Internet of Things (NB-IoT) and Long Range (LoRa) technology, and compares them with GPRS and area IoT technology. Next, a wireless-to-cloud architecture is proposed for the IoET, based on the main technical features of LPWAN. Finally, this paper looks forward to the potential of IoET in various DSM application scenarios.     

基于LoRa技术的网络终端无线程序升级系统研究

设计了一种基于LoRa技术的STM32F4无线程序升级系统.此系统由PC及相关STM32软件开发环境、LoRa通信模块及其控制器和STM32 F4终端三部分组成.本系统采用LoRa技术将程序数据无线发送到终端,终端通过IAP技术实现远程无线程序自动升级.测试结果表明,此系统能够有效地进行无线传感网络终端的程序升级,极大节约了时间和人力成本.     

基于LoRa技术通信的采煤机姿态感知系统设计

为实现采煤机滚筒智能调高与远程控制记忆截割煤等功能,需获取采煤机精确姿态信息。设计一种基于LoRa技术通信的采煤机姿态感知系统。考虑井下工作条件恶劣、通信干扰因素多等特点,该系统采用抗振倾角传感器精确获取采煤机姿态信息,利用LoRa技术并结合滤波算法来提高系统的通信距离,实现采煤机滚筒智能调高和记忆截割煤的远程控制。通过在黄陵1#煤矿井下进行实际测试,结果表明,该系统在井下恶劣环境中获取的采煤机姿态信息精确,传输距离可达140 m,可以满足工作面远程控制需求。     

基于LoRa的无线转RS-485通信设计

本文以介绍物联网无线应用技术开头,设计了基于LoRa的无线转RS-485通信产品。在具体的设计中,以系统框图为始,让读者简单明确的明白整个系统框架。然后结合系统框图,设计了四个主要电路模块,分别为电源模块、基于ZM470SX-M的LoRa无线通信模块、基于SN75HVD3082E的RS-485有线通信模块以及基于STM32的MCU控制模块。     

Edge analytics for anomaly detection in water networks by an Arduino101-LoRa based WSN

This paper presents a novel distributed data analytic architecture, and corresponding algorithms that apply to infrastructure anomaly detection. The proposed method mainly focuses on smart water networks, demonstrating that the highest possible sensor rate analytic performs at on-edge nodes without requiring the whole date to send back to the server. This approach saves communication costs and lengthens the lifetime of the battery-powered nodes. A complex set of tasks is developed on a single-core Intel Curie processor, Arduino101 and the raw sensor data is compressed using a customized Lempel–Ziv compression algorithm tailored to resource-constrained embedded systems. The compression rate figures are then analyzed but only the compressed data which is associated with the anomalous condition is sent back to the server by means of a LoRa platform. The developed system is evaluated experimentally and the results verify the high resource utilization.     

基于LoRa物联网技术的智能照明控制方案在高速公路上的应用——以北京新机场高速公路(南五环-北京新机场)为例

文章结合北京新机场高速公路照明工程实例,阐述了常规照明控制系统的现状,分析了基于新兴的LoRa物联网技术智能照明控制方案的系统原理和系统构成、系统在高速公路智能照明控制领域的应用以及系统应用能达到的节能和管理效益的提升效果,并对系统的扩展应用前景做了研究分析。