Sensor play an important part in data collecting and monitoring system.
传感器在各种数据采集与检测系统中起着至关重要的作用。
This data collecting and monitoring system could ensure to obtain the operation data of solar energy grid-connected PV plants.
该数据采集监测系统为获取太阳能并网光伏电站的运行数据提供保证。
This paper presents one new method of nonlinear calibration for temperature measurement sensors of power plant, which is based on CMAC neural network and data collecting and monitoring system.
本文充分利用CMAC神经网络的非线性函数逼近功能，并结合电站数据采集和监测系统，提出一种校正电站测温传感器非线性输出特性的新方法。
应用推荐