扩散硅差压变送器的解剖浅析

本文通过对扩散硅差压变送器的检测解剖,重点对其具有100倍基准量程以上的抗过载能力机理进行了分析,为传感器各专业制造厂开发高过载能力传感器、变送器提供了新的途径。     

智能差压变送器DeviceNet节点设计

分析了DeviceNet总线协议的市场状况及相对于其他总线协议独有的技术特点,提出了智能差压变送器DeviceNet现场总线从站模块的设计实现方案.系统硬件主要由信号调理电路、进行数字信号处理及组态的DSP、实现网络协议及接口通讯的MCU、CAN控制器SJA1000等组成.系统软件在分析对象模型的基础上采用模块化设计方法及事件驱动机制用KEILC51编写.在由多台设备组成的DeviceNet网络上进行的测试中,该设计工作正常,基本满足设计要求.     

差压变送器稳定性研究

本文对组成差压变送器的振荡电路、差压变送器式位移传感器、检测电路、直流放大器、电压电流转换电路等进行了分析,并提出了提高位移传感器稳定性的措施。     

差压变送器用试验器

一、前言在过程检测中,流量检测与温度、压力的检测一样是最常遇到的检测量之一。流量检测本身也有多种多样的方式。目前,阻尼式流量计与容积式流量计、面积式流量计、电磁式流量计、超声波流量计等同样被广泛采用。阻尼式流量计是在圓形管路中插入孔板、喷嘴、文丘利管等阻尼机件,     

扩散硅压力变送器的精密温度补偿

文中介绍了扩散硅压力传感器温度补偿的一种新方法,以及采用MAX1457精密补偿全温区（-30～ 80℃）压力变送器（4～20mA输出）的关键事项。     

差压变送器的现状和进展

】简要地介绍了差压变送器的市场情况、应用领域、主要生产厂商及其各自所采用的技术原理,重点介绍了差压变送器的发展动向、智能差压变送器的特点及其代表性品种的主要特征。     

基于HART协议的微差压智能变送器

在普通微差压变送器的基础上,设计了带有HART通讯协议的智能微差压变送器.介绍了整个智能变送器系统所涉及的硬件,阐述了系统的整体硬件结构以及通讯程序流程和数据采集流程.给出了部分的HART协议智能变送器的电路图,它可以实现HART协议变送器的基本功能.     

扩散硅压力变送器温度补偿技术

本文介绍了生产中实用的扩散硅式变送器电路、新的硅杯电阻测试方法、零点的两点式温度补偿以及三点式补偿、变送器误差修正法量程补偿、量程锅底型温漂的补偿以及迁移温漂补偿。     

数字式传感器在智能温度变送器设计中的应用

本文介绍了ＤＳ１６２０新型数字式温度传感器的工作原理及特点,提出了数字式热电偶冷端温度补偿的方法并将其用于智能温度变送器的设计中,解决了传统热电偶冷端（参比端）温度补偿器的型号匹配问题,克服了补偿电桥不能完全补偿的缺点,提高了测量精度,降低了变送器的成本。     

现场总线智能变送器温度自补偿功能的实现研究

本文分析了智能变送器温度自补偿功能,推导出温度补偿系矩阵,存储在现场总线智能变送器传感器模块存储中。给出实例分析,结果表明智能变送器检测被测物理量的温度稳定性得到了显著提高。     

An artificial neural network-based smart capacitive pressure sensor

A smart capacitive pressure sensor (CPS) using a multi-layer artificial neural network is proposed in this paper. A switched capacitor circuit (SCC) converts change in capacitance of the CPS due to applied pressure into a proportional voltage. The nonlinear characteristics of the CPS make the SCC output nonlinear. Further, due to dependence of the CPS characteristics on ambient temperature, the SCC output becomes quite complex for obtaining correct digital output of the applied pressure, especially when the ambient temperature varies with time and/or place.

To circumvent this difficulty, an ANN is employed to model the sensor. By training the ANN model suitably, the digital readout of the applied pressure can be obtained which is independent of ambient temperature. A new idea for collecting temperature information from the sensor characteristics themselves, and automatic feeding of this information into the ANN-based CPS model is proposed. From the simulation results it is verified that the ANN model can give correct readout of the applied pressure within ±1% error (FS) over a wide range of temperature variation starting from −20°C to 70°C. This modeling technique of the CPS provides greater flexibility and accuracy in a changing environment.     

Modeling and development of an ANN-based smart pressure sensor in a dynamic environment

In many engineering applications, a capacitive pressure sensor (CPS) is placed in a dynamic environment in which the temperature variation is quite large. Since the response characteristics of a CPS are highly nonlinear and temperature dependent, in such situations, complex signal processing techniques are needed to obtain correct readout of the applied pressure. We have proposed an artificial neural network (ANN)-based smart capacitive pressure sensor, whose response characteristics can be estimated within an accuracy of ±1% error over a wide variation of temperature starting from −50°C to 150°C. This modeling scheme automatically takes care of all the nonidealities, such as, nonlinearity, offset, gain and temperature dependence, of the sensor. A novel idea of automatic collection of temperature information and its feeding into the ANN model is also proposed. In the practical implementation of this scheme, the hardware complexity poses a serious impairment. Since the tanh() functions are needed for implementation in the ANN-based model, to reduce the hardware requirement, we provide a simple scheme for computation of tanh(). Sensitivity analysis of the model with respect to the finite word-length constraint on the final stored weight values, and number of terms used in the implementation of tanh() function, have been carried out. A microcontroller-based implementation scheme for the ANN-based model is also suggested.     

弹簧管智能压力变送器的设计

该文较为详细的说明了弹簧管智能压力变送器硬件及软件的设计方法,特别讨论了弹簧管的位移检测电路及采用的低功耗硬件和软件设计技术。     

A new and low cost lead resistance compensation technique for resistive sensors

A simple and low cost lead resistance compensation technique for resistive sensors is presented in this paper. A timer IC555 in astable mode is utilized to develop this technique. In the timer output waveform, the time difference between positive pulse width and negative pulse width that are measured sequentially from a single window of digital storage oscilloscope (DSO) is linear with sensor resistance and is completely independent of lead resistance. Theoretical predictions are supported by the experimental data.     

Free knot recursive B-spline for compensation of nonlinear smart sensors

Compensation of nonlinear smart sensors is an important topic that must always be considered to assure the accuracy of measurement systems. Nowadays, with the advent of microprocessor devices in smart sensors, advanced compensation algorithms can be implemented to improve the accuracy of measurement. In this paper, an inverse modeling methodology based on B-spline is proposed for the compensation of nonlinear smart sensors. To avoid complicated least squares solution of the B-spline, a training algorithm in a recursive form is proposed to reduce the training cost and make the on-chip training of B-spline available. Moreover, the choices of B-spline knots and training points are important designed parameters in this methodology. So the free knot insertion algorithm and training points’ selection method are used prior to the training process to improve the accuracy of the inverse models and avoid the under and over fitting. Simulations and results are presented to validate the theoretical expectations.     

探空仪气压传感器温度补偿的新方法

气压传感器是探空仪中的核心部件之一,传统的硅压阻传感器应用于探空仪中还存在着一些不足。本文介绍了一种集成气压传感器,提出了集成气压传感器中的两种新的温度控制补偿方法,并依据试验数据做出了对比分析。     

基于容积补偿的差压式气密性自动检测仪的研制

基于容积补偿的差压式检漏法作为泄漏检测中的一种新型的测试方法,与普通的差压法相比,具有精度高、测试速度快等优点。该文主要研制一种工作效率高的检测机构,并针对所研制的基于差压式容积补偿检漏装置,在不同的压力条件下进行了对比实验,并做了相应的分析。     

智能传感器及其在高速机车状态监测中的应用

智能传感器以数字量形式和串行通讯的方式完成信息的传递，具有精度高，抗干扰能力强，工作稳定可靠等特点。以数字式温度传感器DS1820为基础开发的高速机车轴温监测系统在SS7D型机车上得到应用，并证明该系统具有很高的可行性，可靠性和实用性。实践表明，智能传感器在高速机车的状态监测与过程控制中具有广阔的应用前景。