模糊控制理论在即热式热水器中的应用

针对传统PID控制器依赖被控对象精确的数学模型,当应用在复杂的、非线性、人迟滞的即热式热水器时难以达到良好的动态响应的缺点,本文将模糊控圳理论噍用于即热式热水器的温度控制中,同时分析了即热式热水器控制系统硬件绀成及工作原理,并且在MATLAB中应用Fuzzy Toolbox和Simulink纣控制系统进行仿真。实验结果表明,模糊控制方法相对于传统的PID控制具仃更好的动态和静态性能,控制精度为大为提高。     

基于单片机的即热式电热水器控制系统的设计

设计一款基于单片机的即热式电热水器的控制系统,利用AT89C52为控制核心,结合用模糊控制技术．实现对即热式电热水器的智能控制。系统可根据用户设定的温度自动控制加热丝工作。给出指定温度的出水流量及漏电、防干烧保护,具有实用性。     

基于单片机的智能家用热水器控制系统设计

为实现对家用热水器低成本、高性价比的控制,设计了以AT89S52单片机为核心,采用DS18B20温度传感器、水位监测模块、温度显示模块以及键盘输入模块的智能家用热水器控制系统。该系统通过对温度的检测、分析和处理,实现了对当前温度的显示及对加热系统的控制。通过对水位的监测,实现了被测系统水位超标的报警提示及对送水系统的控制。     

热泵热水器控制器的设计

介绍了热泵热水系统的工作原理。详细阐述了以松翰公司的SN8P2308微控制器为核心的热泵控制器硬件系统的设计。结合热泵热水器的控制要求,采用模块化、层次化的软件设计方法,实现了多路温度数据的采集和热泵在各种系统参数下运行的控制。     

燃气热水器智能水温控制的EDA实现

针对现有燃气热水器水温控制的不足之处,介绍一种智能型水温控制器.采用大火力快速启动方式缩短加热时间.温度反馈及超前控制方式缩小温度稳定时间、减小超调温度,还设有安全保护、寿命均衡及燃烧稳定性的控制措施.设计采用VHDL硬件电路描述语言,利用EDA工具进行电路描述,并通过了仿真测试.     

恒温变流型热式气体MFM的研究

针对热式质量流量计响应速度慢、受外界温度影响等缺点，设计出恒温变流型热式气体MFM，详细介绍了恒温变流式MFM的传感器电路和传感器信号的放大电路的原理并进行了公式推导。该电路具有响应速度快、不受外界温度影响，并且灵敏度高、准确性高等优点，同时抗干扰能力强。该电路为实现气体质量流量的在线智能测量奠定了基础。     

基于STC15的承压式太阳能热水器智能控制系统

本系统采用STC15F2K60S2单片机作为控制中心,温度传感器部分采用DS18B20数字型温度传感器,同时结合物联网技术通过机智云平台创建手机APP,实现承压式太阳能热水器的远程控制。根据承压式太阳能热水器的要求设计该控制系统,实现温度与设置加热温度的显示、控制加热装置开关、通过手机APP实现远程监控和操作等功能。     

基于单片机的热水器智能控制系统的设计

文章以单片机AT89S52为控制核心,利用温度检测技术、辅助加温技术、水位监测等技术对太阳能热水器的实用性和现实性应用进行了研究设计。给出了系统的硬件设计和软件设计,详细叙述了系统硬件设计的要点以及软件的设计要点,并给出了主程序的流程图。     

热式空气流量计电路分析与测量

为详细分析热式空气流量计的具体工作原理,先介绍了惠斯顿电桥的工作原理及在热式空气流量计上的应用,重点分析了热式空气流量计的实际测量电路并对温度补偿进行了适当说明,最后介绍了CORALLA轿车的空气流量计,利用BOSCH-FSA740发动机性能分析仪对其进行检测,得出了不同转速下的信号电压。     

热扩散式质量流量计精度的进步

热式传感技术的进步自从热电偶技术和早期的热线式风速计产生之后,热式流量测量技术已经有了长足的进步。热式技术以热传导为基础,一般是根据两个温度传感器间的温差产生一个直接与温差和质量流量成比例的信号。很久以来,热式流量传感器在很多行业中得以应用,并满足了一些特殊的要求。现代化的热式流量传感器在设计上已由实验室设备进化为了牢固的过程设备,每一代新产品都在传感器性能方面有突破性的进步。早期的热式产品设计者们在维持生产公差、温度跟踪及符合工业封装标准方面经历了很多挑     

基于Zigbee的循环水浓缩倍率无线监控系统设计

浓缩倍率是电厂水平衡的核心参数,也是决定发电水耗高低的关键参数。文章提出了一种基于ZigBee技术的循环水浓缩倍率无线监控系统,水质传感器采集到的水质信号经ZigBee节点无线传输到上位计算机。上位机将采集到的实时数据根据设定程序进行对比计算,输出控制信号调节各被控量,实现水的浓宿倍率的在线、实时监控。同时,在上位计算机上用VB编程软件设计了方便、友好的人机界面,具有参数设定、状态监测及显示等功能。     

基于MQTT协议IM的研究和实现

随着移动互联网和智能终端的发展与普及, IM(Instant messaging即时通讯)再次成为一个炙手可热的领域。由于移动终端设备在低功耗、低带宽等方面的限制,对即时通讯协议提出了更高的要求。 MQTT(Message Queuing Telemetry Transport,消息队列遥测传输)作为一种轻量级基于发布/订阅模式的消息传输协议,是移动终端应用的理想选择。介绍了MQTT的基本内容和特点,并与其他即时通讯协议SIMPLE协议和XMPP协议进行了对比,从而提出一种基于MQTT协议的移动终端即时通讯解决方案。在Mosquitto开源项目的基础上,设计并实现了一款基于MQTT协议的移动即时通讯客户端,实现了即时通信、状态呈现和群组等功能。     

电力系统网络信息流量估算

本文从电力系统网络的业务和数据分类出发，描述了不同数据类型的计算方法，提出了供电企业网络信息传输带宽的测算方法及原则。形成了一套省电力公司实时数据和非实时数据、电信支撑网信息数据带宽计算的模型。     

对等网数据共享中动态解密授权的实现

在对等网络的数据共享中,存在被访问端离线时无法提供即时访问的缺陷。该文提出了一种动态解密授权实现方案,应用多项式秘密分享体制将解密权利授权给多个代理,当授权端不在线时由多个代理共同提供访问。该方案不仅能够防止密钥泄漏、防单个代理滥用授权和防欺诈,而且能够动态更新解密密钥、增删代理和进行代理信息的维护,安全、灵活、有效地解决了这一问题。     

基于集中存储的刀片服务集群研究与设计

刀片服务器提供了强大的计算能力,但在其上构建多个服务环境时,过程繁琐且管理成本高昂。该文提出基于集中存储的Bladmin系统。该系统根据服务需求启动网络刀片,构建动态虚拟环境(VE),满足了服务对刀片竞争性的需求,实现了VE的快速构建与动态调整。实验结果表明,Bladmin需要的构建时间较少且可管理性较高。     

Application of intelligence-based predictive scheme to load-frequency control in a two-area interconnected power system

This paper describes an application of intelligence-based predictive scheme to load-frequency control (LFC) in a two-area interconnected power system. In this investigation, at first, a dynamic model of the present system has to be considered and subsequently an efficient control scheme which is organized based on Takagi-Sugeno-Kang (TSK) fuzzy-based scheme and linear generalized predictive control (LGPC) scheme needs to be developed. In the control scheme proposed, frequency deviation versus load electrical power variation could efficiently be dealt with, at each instant of time. In conclusion, in order to validate the effectiveness of the proposed control scheme, the whole of outcomes are simulated and compared with those obtained using a nonlinear GPC (NLGPC), as a benchmark approach, which is implemented based on the Wiener model of this power system. The validity of the proposed control scheme is tangibly verified in comparison with the previous one.     

电力监控系统中即时消息系统的设计与实现

基于CORBA技术设计和实现了一个应用于电力监控系统中的即时消息系统--IM Server(instant message server),它负责将其它子系统中必须报告给系统管理员的消息以短消息的形式报告给系统管理员,接收系统管理员发回来的处理结果短消息指令,下发给其它子系统,极大地提高了电力监控系统的可管理性.     

OPT: optimal human visual system-aware and power-saving color transformation for mobile AMOLED displays

Organic light-emitting diode (OLED) displays have a high power efficiency; however, the frequent use of user interaction-based applications such as instant messengers, video players, and games contributes strongly to the total power consumption. The power consumption varies significantly depending on the display contents, and thus, color transformation, which is a representative low-power technique, is used for OLED displays. Previously developed low-power color transformation methods have not been thoroughly researched for satisfying the human visual system and have not considered optimal visual satisfaction and power consumption simultaneously. In this paper, a novel low-power color transformation approach is proposed, which is aimed at simultaneously optimizing both visual satisfaction and power consumption. In addition, it is implemented on an active-matrix OLED (AMOLED) display-based Android smartphone at runtime. Experimental results show that the proposed technique achieves better human visual satisfaction and shows up to 22.32% power saving on average on the AMOLED display and offers 6.23% more extended battery life over that of an existing leading technique.

     

Power system load forecasting using smoothing techniques

This paper deals with short-term load forecasting problem for a power system, The load demand at any particular instant is assumed to follow a time-Beries model. A predictor is developed which identifies the coefficients of the time series in an on-line fashion. The loads at previous instants are considered as delayed variables, and a smoothing estimation technique is made use of in conjunction with the concept of the two-stage estimator to simultaneously estimate the load and related parameters. The results of an actual study made on a receiving station in Northern India are presented to illustrate the proposed predictor.     

Adaptive power control for wireless networks using multiple controllers and switching

Controlling transmitted power in a wireless network is critical for maintaining quality of service, maximizing channel utilization and minimizing near-far effect for suboptimal receivers. In this paper, a general proportional-integral-derivative (PID) type algorithm for controlling transmitted powers in wireless networks is studied and a systematic way to adapt or tune the parameters of the controller in a distributed fashion is suggested. The proposed algorithm utilizes multiple candidate PID gains. Depending on the prevailing channel conditions, it selects an optimal PID gain from the candidate gain set at each instant and places it in the feedback loop. The algorithm is data driven and can distinguish between stabilizing and destabilizing controller gains as well as rank the stabilizing controllers based on their performance. Simulation results indicate that the proposed scheme performs better than several candidate controllers, including a well known distributed power control (DPC) algorithm.