Echo signal envelope fitting based signal processing methods for ultrasonic gas flow-meter

The echo signal of the ultrasonic gas flow-meter is difficult to locate, and the computation of signal processing methods proposed by others is extensive which affects the meter’s real-time performance. Aiming at solving these problems the echo signal envelopes under different flow rates are analyzed. And three kinds of signal processing methods based on echo signal envelope fitting are proposed. The shape of the echo signal remains the “approximate spindle shape” as the flow rate increases, and the envelope gradient of the middle parts of the upper envelope’s rising section and the lower envelope’s falling section remains the same at different flow rates, so the mathematical models of the two sections are established to obtain the envelope gradient curves of the two sections. With the envelope gradient curves, the ranges of envelope and peak points that linearly distributed are obtained. The least squares fitting is performed on those peak points to obtain two feature straight lines for respectively representing the upper envelope’s rising section and the lower envelope’s falling section. According to the spatial characteristics of the feature straight lines, the points on the feature straight lines are selected as the feature points for quickly locating the echo signal. According to the offline verification and comparison, the best one of three kinds of signal processing methods is selected, and realized on the hardware system of the two-channel ultrasonic gas flow-meter. The transmitter of two-channel ultrasonic gas flow-meter is developed based on FPGA & DSP dual core structure. It utilizes the parallel processing capacity and logic control ability of FPGA to realize the controlling of the high-speed ADC & DAC and the storage of the data. At the same time, it adopts the high-speed computing capacity of DSP to implement the digital signal processing method. The gas flow calibration experiments were carried out in a national accredited testing agency to verify the effectiveness of the signal processing methods and system. The experimental results show that the improved signal processing method based on echo signal upper and lower envelope fitting can quickly and accurately locate the echo signal. And the measurable range of the ultrasonic gas flow meter based on this signal processing method is broadened to 10 m³/h to 1,300 m³/h, and the turndown ratio is broadened to 1:130.     

基于DSP的多元数据同步采集与存储系统的设计与实现

从硬件和软件两个角度出发,介绍基于DSP的多元数据同步采集与存储系统的组成、工作模式以及功能的测试。系统主要由上位机和数字采集与存储单元组成,其中数字采集与存储单元的硬件部分包括电源模块,值班电路模块,数据采集模块,数据存储模块,时钟同步模块。系统采用DSP作为中央处理芯片,利用经过同步后的秒脉冲作为触发信号,实现同步数据采集。以CF卡作为存储介质,实现数据自容式存储。软件部分实现自检、同步、数据采集存储功能。经过测试,系统工作稳定,功能正常,同步精度在100ns以内。     

基于DSP的智能电源控制单元设计与实现

本文利用TI公司TMS320F28335芯片高效的浮点运算能力,结合片上丰富的外设,设计并实现了一种具有高可靠性的智能电源控制单元。该控制单元周期性地对各片上外设进行自检维护,完成多路负载通道控制、电压、电流的实时监控,并对故障进行指示、处理和上报,同时提供人机交互界面更新状态信息。经过验证,该控制单元工作稳定,具备良好的工程应用价值。     

高性能通用DSP寄存器扩展设计实现方法

本文提出一种高性能通用DSP扩展寄存器的设计及实现方法,该方法是我国自主研发的高性能通用DSP中实现寄存器堆扩展的一种新方法,其优点是在不影响现有指令集及指令机器码位宽的前提下,实现对处理器内部寄存器堆的成比例扩展。通过在我国自主研制DSP上的实际应用,证明了该扩展方法的有效性和实用性。     

Artificial bee colony based algorithm for maximum power point tracking (MPPT) for PV systems operating under partial shaded conditions

Artificial bee colony (ABC) algorithm has several characteristics that make it more attractive than other bio-inspired methods. Particularly, it is simple, it uses fewer control parameters and its convergence is independent of the initial conditions. In this paper, a novel artificial bee colony based maximum power point tracking algorithm (MPPT) is proposed. The developed algorithm, does not allow only overcoming the common drawback of the conventional MPPT methods, but it gives a simple and a robust MPPT scheme. A co-simulation methodology, combining Matlab/Simulink™ and Cadence/Pspice™, is used to verify the effectiveness of the proposed method and compare its performance, under dynamic weather conditions, with that of the Particle Swarm Optimization (PSO) based MPPT algorithm. Moreover, a laboratory setup has been realized and used to experimentally validate the proposed ABC-based MPPT algorithm. Simulation and experimental results have shown the satisfactory performance of the proposed approach.     

基于DSP技术的配电房关键位置温度测量系统

目前配电房关键位置温度测量系统未设计温度智能标定程序,导致系统温度测量精度和正确率较低,为此提出设计基于DSP技术的配电房关键位置温度测量系统。硬件方面,考虑系统核心模块和测量性能,优化系统硬件结构和显示模块。软件方面,设计系统温度采集模块,采集配电房关键位置温度,设计温度测算程序和温度智能标定程序,智能测量配电房关键位置温度。实验结果表明:该系统受到外界温度因素影响较小,拟合曲线拟合度较高,具有较高的温度测量精度和正确率。     

DSP材料的水化特性与高强机理探讨

本文主要研究ＤＳＰ材料的孔结构与强度随水化龄期变化规律，通过Ｘ射线衍射分析探讨了ＤＳＰ材料的组成及其变化，同时借助于扫描电镜和红外光谱分析探讨ＤＳＰ材料的离强机理。     

基于FIFO的高速A/D和DSP接口设计

在DSP高速数据采集系统中,DSP往往不能适应A/D芯片的工作速率.为了提高DSP的工作效率,避免数据的丢失和方便控制,用FIFO作为两者之间的接口可以产生很好的效果.介绍了用FIFO器件CY7C4261实现A/D芯片AD9283和DSP芯片TMS320VC5416之间接口的方法,详细分析了数据从A/D送至DSP的整个过程.实际设计及应用表明该接口提高了DSP的使用效率,具有广阔的应用前景.     

基于DSP的不间断应急电源控制系统研究

针对电源系统的高要求性,以通信基站的电源系统作为研究基础提出一种基于数字信号处理器(DSP)的不间断应急电源(UPS)控制系统。利用DSP TMS320F2812实现了不间断应急电源系统闭环电压调节以及实现与市电同步的控制,可以有效提高系统工作效率与稳定性。     

基于DSP6678的KCF算法实现及优化系统设计

核相关滤波算法在目标旋转、部分遮挡等情况下具有很强的鲁棒性,但是其在实际工程上无法满足实时性跟踪的要求。借助DSP嵌入式平台,提出一种实时目标跟踪系统实现方案。首先,基于TMS32C6678处理器的硬件平台,对二维快速傅里叶变换(FFT2D)进行算法优化;其次,对KCF算法进行C语言级代码优化,包括循环展开、使用内联函数、使用关键字const等。实测结果表明,对640×480像素的图像,跟踪目标为32×64像素时,波门大小为64×128。在满足跟踪效果的同时,其跟踪速度最高达到25 ms/帧,符合实时性要求。