平台下，安设有智能化基础结构，包括带传感器的供水管道及一张光纤网络。
Below the platform sits the smart infrastructure, including water pipes with sensors and a fibre-optic network.
本文介绍一种新颖的三节点式光纤强度调制传感器全光纤补偿网络的原理和建模。
This paper describes a novel all fiber compensation network for an intensity modulated optic fiber with three-access and its mathmatical model.
在底层网络中个别结点机与传感器之间配置有光纤旋转连接器，可传输动态数据。
Fiber optic rotary joints that can transmit dynamic data were assembled in sub-layer network between the node computer and sensors.
本文提出了以径向基函数(RBF)神经网络处理表面粗糙度光纤传感器输出信号的方法。
A new method for processing output of surface roughness optical fibre sensor by radial basis function (RBF) neural network is presented in the paper.
而且，由光纤传感器构成的网络易于实现罐区的实时监控，并能辅助罐区的日常维护和管理工作。
The network formed by optic fiber sensor is able to realize the tank sections real-time monitoring, and assists in regular maintenance and management of the tank section.
分布光纤喇曼光子传感器(D O F R P S)系统是一种实时测量空间温度场、应力场和压力场的光纤网络系统。
Distributed optical fiber Raman photonic sensor (DOFRPS) system is an optical fiber network used for the real-time measurement of temperature field, strain field and pressure field in the space.
将神经网络应用于光纤传感器的光强补偿，提出了一种基于径向基函数神经网络的光强补偿方法。
Applying neural network to intensity compensation of optical fiber sensors, a method based on radial basis function network is proposed.
结合传感器技术、嵌入式计算技术、现代通信与网络技术，将光纤光栅应用到传感器网络中，设计了一种小区制蜂窝传感器网络。
In combination with sensor technology, embedded computing technology, modern communication and network technology, we apply FBG to the sensor network and design a cellular sensor network.
由于光纤光栅传感器潜在的低成本、复用能力强，便于构成各种形式的光纤光栅传感网络，因此它特别适合多点测量。
Fiber grating sensor has potentially a low cost, strongly multiplexing capabilities and easily form all kinds of Fiber Sensing net, so it is specially suited for multipoint measurement.
由于光纤光栅传感器潜在的低成本、复用能力强，便于构成各种形式的光纤光栅传感网络，因此它特别适合多点测量。
Fiber grating sensor has potentially a low cost, strongly multiplexing capabilities and easily form all kinds of Fiber Sensing net, so it is specially suited for multipoint measurement.
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