Description
SCXI-1100 NI
SCXI-1100是美国国家仪器(National Instruments,简称NI)公司生产的一款32通道差分输入电压模块,属于SCXI(Signal Conditioning eXtensions for Instrumentation)系列模块。该模块主要用于信号调理,适合处理毫伏级、伏特级和电流信号。
产品参数和规格
型号:SCXI-1100
类型:32通道差分输入电压模块
通道数:32
输入类型:差分输入
增益范围:可编程增益
滤波:可选4Hz低通滤波器
采样率:取决于主DAQ设备
输入保护:±42V
系列和特征
系列:SCXI系列模块
特征:
多通道:32个通道,可同时采集多个信号
可编程增益:适应不同量程的信号
滤波功能:抑制高频噪声
模块化设计:方便扩展和维护
与NI DAQ设备兼容:可与NI的各种数据采集设备配合使用
作用和用途
信号调理:对微弱信号进行放大、滤波等处理,使其适合数字化
数据采集:将模拟信号转换为数字信号,以便计算机处理
测试测量:用于各种测试测量系统,如振动测试、温度测量等
应用领域
工业自动化:工业过程控制、设备监测
测试测量:电子产品测试、环境监测
科研实验:物理实验、生物医学研究
英文说明
Product Description
SCXI-1100 is a 32-channel differential voltage input module manufactured by National Instruments(NI),part of the SCXI(Signal Conditioning eXtensions for Instrumentation)series.This module is primarily used for signal conditioning and is suitable for handling millivolt,volt,and current signals.
Product Parameters and Specifications
Model:SCXI-1100
Type:32-channel differential voltage input module
Number of channels:32
Input type:Differential input
Gain range:Programmable gain
Filtering:Optional 4 Hz low-pass filter
Sampling rate:Depends on the main DAQ device
Input protection:±42V
Series and Features
Series:SCXI series modules
Features:
Multi-channel:32 channels,capable of simultaneously acquiring multiple signals
Programmable gain:Adapts to signals with different ranges
Filtering function:Suppresses high-frequency noise
Modular design:Easy to expand and maintain
Compatible with NI DAQ devices:Can be used with various NI data acquisition devices
Role and Usage
Signal conditioning:Amplifies,filters,and processes weak signals to make them suitable for digitization
Data acquisition:Converts analog signals into digital signals for computer processing
Test and measurement:Used in various test and measurement systems,such as vibration testing and temperature measurement
Application Areas
Industrial automation:Industrial process control,equipment monitoring
Test and measurement:Electronic product testing,environmental monitoring
Scientific research:Physics experiments,biomedical research