基于nRF24L01的智能家居网络的设计

智能家居是当前物联网的主要应用之·,当前采用的技术主要有ZigBee和Z—Wave技术。然而,ZigBee器件成本昂贵,Z-Wave技术是非开发式标准,存在系统的兼容性问题。针对上述问题,文中提出了基于NRF24L01实现智能家居系统的解决方案。同时详细地介绍了智能家居系统的框架和通信协议,并给出了可行的解决方法。最终测试结果表明,使用nrf24L01是一套低成本的智能家居解决方案,可进一步推进智能家居的应用。     

ZFZ-01数字式水面蒸发自动站在南宁水文站的应用

介绍了数字式水面蒸发自动站的工作原理,通过与常规E601B型蒸发器同步比测实验,实现了蒸发观测在线监测.蒸发观测自动化、信息化,为防灾减灾决策提供及时、准确的科学依据.     

基于nRF24L01、单片机的小区远距离无线传呼

介绍了基于nRF24L01无线通信模块实现远距离传呼,将传呼信号经过单片机处理,通过无线模块发送数据,另外一个无线模块接收数据并通过单片机处理,实现传呼及显示呼叫所在楼层。     

基于nRF24L01的主动式电子标签的设计

本文提出一种2.4G主动式RFID标签结构,设计了硬件电路及相关软件,克服被动式RFID标签识别距离短,不稳定的缺点。在主动式标签的设计中,采用低功耗单片机和射频芯片,减小标签体积。实验表明:该型标签具有扩展方便、低功耗、可靠性高的特点。     

control with limited communication and message losses

We propose an H^∞ approach to a remote control problem where the communication is constrained due to the use of a shared channel. The controller employs a periodic time sequencing scheme for message transmissions from multiple sensors and to multiple actuators of the system. It further takes into account the information on the random message losses that occur in the channel. An exact characterization for controller synthesis is obtained and is stated in terms of linear matrix inequalities. Furthermore, an analysis on the loss probabilities of the messages to accomplish stabilization is carried out. The results are illustrated through a numerical example.     

Squeezing More Past Knowledge for Online Class-Incremental Continual Learning

Continual learning (CL) studies the problem of learning to accumulate knowledge over time from a stream of data. A crucial challenge is that neural networks suffer from performance degradation on previously seen data, known as catastrophic forgetting, due to allowing parameter sharing. In this work, we consider a more practical online class-incremental CL setting, where the model learns new samples in an online manner and may continuously experience new classes. Moreover, prior knowledge is unavailable during training and evaluation. Existing works usually explore sample usages from a single dimension, which ignores a lot of valuable supervisory information. To better tackle the setting, we propose a novel replay-based CL method, which leverages multi-level representations produced by the intermediate process of training samples for replay and strengthens supervision to consolidate previous knowledge. Specifically, besides the previous raw samples, we store the corresponding logits and features in the memory. Furthermore, to imitate the prediction of the past model, we construct extra constraints by leveraging multi-level information stored in the memory. With the same number of samples for replay, our method can use more past knowledge to prevent interference. We conduct extensive evaluations on several popular CL datasets, and experiments show that our method consistently outperforms state-of-the-art methods with various sizes of episodic memory. We further provide a detailed analysis of these results and demonstrate that our method is more viable in practical scenarios.      

电容电阻双模态成像系统的无线数据采集技术

针对传统ECT/ERT成像系统中连接数据采集部分和成像终端的连线复杂、抗干扰能力差等问题,设计了一种基于无线模块nRF24L01进行数据传输的ECT/ERT双模态成像系统;介绍了基于无线传输的ECT/ERT双模态成像系统硬件结构,采用一种简化的基于跳频的无线传输通信协议,该法可以在多台同频干扰机发送的环境下较好地避免采集数据受干扰,并实现每秒50帧数据传输;实验结果表明,采用无线跳频技术可以解决工业现场的干扰,使测量数据准确快速地传输到成像终端。     

nRF24L01在ABS试验平台上的应用

介绍了无线通信模块NRF24L01的结构和特点,设计无线通信的ABS参数测量系统,系统通过对ABS试验平台轮速进行采集,将轮速转化成频率信号,利用周期测量法测出频率,经无线通信模块NRF24L0将数据发送出去。在终端通信模块与主接收模块之间采用TDMA通信方式进行数据交互,主接收模块接收到数据传送到上位机上显示。     

数控加工中的二次曲线拟合与最优插补控制算法

本文提出一种基于二次B样条曲线对G01代码的拟合及插补方法,先通过自适应方法选取G01代码所描述的加工轨迹形状特征的各个特征点,再用通过所有特征点的二次B样条曲线拟合待加工路径.由于Timar等人提出的最优速度规划算法对于三次及三次以上的高阶次样条曲线的计算极为复杂,本文提出了一种改进的基于二次B样条曲线的时间最优插补计算方法.最后,将所提出的算法应用到实际的图案加工仿真与实际数控加工中.     

嵌入式系统的存储测试技术及无线传输应用

存储测试技术是在特殊环境下记录运动物体参数的最有效的手段.本文介绍了基于ARM7 LPC21xx开发存储测试系统的方法.Philips公司16/32位微控制器LPC21xx是基于支持实时仿真和嵌入式跟踪的16/32位ARM7TDMI-S CPU的微控制器,它具有掉电和空闲两种节电模式,可用电池供电并且长期工作.利用微控...