针对IEEE1451.4标准定义的混和模式智能传感器模型，通过分析，建立智能数据采集节点模型。
According to the mixed smart sensor model in IEEE1451.4, based on the analysis, smart data collect note model is built.
数据采集节点采集到的数据经无线方式传输到网络协调器，网络协调器经串口协议将数据上报给ARM处理器。
The data collected by data Acquisition Node are transmitted to the network coordination by wireless mode. Network coordinator reported data to the ARM through serial port protocol.
Capture选项卡提供关于节点的数据采集活动的统计数据。
The capture TAB provides statistics on the data capture activity at the node.
实践证明，该节点实现传感器数据的采集与无线传输，以及TEDS数据的定义与应用。
Practice shows that the node can realize the acquisition and wireless transmission of sensor data, and the definition and application of TEDS data.
该节点通过微控制器和无线传输模块实时采集、处理、传输井下工作面的瓦斯浓度、CO浓度、温度、湿度等数据。
The node can collect, process and transmit data of gas concentration, co concentration, temperature and humidity of underground working face by microcontroller and wireless transmission module.
传感器节点采集到的数据必须结合其位置信息才有意义，没有位置信息的数据几乎没有利用价值。
Raw sensor data must be combined with spatial information and the value of the raw data increases substantially. Raw data without its position information has less capability.
同时主要对CAN总线节点的通信程序、家电通用控制器和数据采集模块进行了详细设计，并最终在开发环境下演示运行。
And it designs the CAN field bus node communication, the universal controller and the module of data gathering in details, and finally runs the system under the development environment.
本文把系统分为两个部分：数据采集和节点检测。
This dissertation studies the data acquisition and network node detection of.
因为多媒体数据的高带宽要求，要传输传感器节点采集到的原始数据将会消耗大量的资源。
Because of the high bandwidth demands of multimedia date, the transmission of raw data collected at sensor nodes will consume a large amount of resources.
基于该设计方案实现的无线传感网络节点可以有效地组建网络拓扑结构及多种传感数据采集传输。
Based on this design idea, the wireless sensor node can be used to build the topology of network and realize several sensor data acquisition and transportation efficiently.
例如，可以从网络中的一个或多个传感器节点采集传感器数据。
For example, sensor data can be collected from one or more sensor nodes in a network.
传感器节点主要包括核心模块、电源模块、无线通信模块、数据采集模块和RS- 232通信模块。
Sensor nodes consist of core module, power module, wireless communication module, data acquisition module, and RS-232 communication module.
通过试验测试，该节点能实现数据的采集（如温度）和远程遥控显示。
Tested by experiments, the node can achieve data acquisition and remote control display.
在有限的硬件条件下，大规模数据采集易使网络产生拥塞现象，并造成节点能耗大幅度增加，严重时会造成网络的瘫痪。
Large-scale data acquisition may bring the danger of congestion in the condition of limited hardware limits, cause large consumptions of nodes or even network paralysis.
分簇协议的目的是要利用节点有限的资源，完成高效的数据采集任务，延长网络使用寿命。
The purpose of clustering protocol is to achieve efficient data collection by making use of the limited resource in wireless sensor networks, which prolongs the lifetime of networks.
本系统采用网络扩展方案，单节点主要由振动数据采集、传输和实时信号处理单元组成。
This system adopts net expand scheme. Single unit includes vibration data collection, transmission and Real-time signal processor.
本文对系统硬件的三个部分：24位数据采集子站节点设计、CAN中继器设计和PC机CAN接口适配器设计分别进行了研究。
The hardware of the system contains three parts. They are 24-bit data acquisition substation, CAN repeater and CAN adapter used for PC.
开发的节点可以灵活组成网状网络并完成数据的采集、传输等功能。
The designed nodes can form a mesh network, collect correctly data and transfer them.
传感器节点是无线传感器网络的基础性硬件平台，是一个具有信号采集、数据处理、无线通信等功能的微型嵌入式系统。
Sensor node is the basic hardware platform in wireless sensor networks. It is a micro-embedded system which has signal acquisition, data processing, wireless communication and other functions.
由无线传感器网络节点来实现深孔测径中数据采集处理功能，以避免传统方法中存在的弊端。
Realize the function of processing data in deep hole diameter measuring by the wireless sensor network to avoid the malpractice which exists in the traditional method.
采用组头轮换机制，使能量储备较多和位置最优的节点担任组播节点承担转发任务，能量储备较少的节点负责数据采集任务。
The use of group head rotation mechanism, node with more energy reserves and the optimal location forward packets to other nodes, node with less energy reserves is responsible for data acquisition.
如果每个节点都将采集的数据直接发送给基站，会造成极大的能量消耗，缩短传感器网络的生存时间。
Data aggregation technology created to resolve the problem can reduce network's energy consumption, increase data accuracy and improve data collection efficiency.
整个检测子系统主要由数据采集前端、井下检测台和地面检测中心三节点组成。
The Subsystem is composed of Environment Parameter Gathering Front-end, Underground Detection Base, Ground Detection Center.
实验测试表明节点能够有效地采集和处理数据，并可以在节点间成功地进行通信。
The experiments results of testing nodes indicate that nodes can gather and process data effectively and communicate successfully between nodes.
通过检测网络中节点的分布密度，传感覆盖面的相关信息来有效的添加节点，以获取节点采集的数据信息。
By examining the distribution of node density, its energy level, the sensing cover area and other related information to increase nodes effectively in the WSN.
从机由LM75A数字温度传感器等组成，采集节点实时温度值，响应主机的请求发送温度数据。
Slaves are composed by two Digital Temperature Sensor LM75A chips to fetch the real time temperatures and send the temperature data to response to the master.
在无线传感器网络中，传感器节点所采集的数据之间存在着时空相关性，数据的冗余增加了传输消耗的能量。
In wireless sensor networks, sensed data are usually correlated and thus have redundancy, which makes energy waste in transmission.
无线传感器网络中的各个节点相互协作可以进行实时监测，感知和采集测试对象的各种信息，并把收集到的海量数据进行处理，然后通过无线网络及时发送给用户。
Wireless sensor network nodes can collaborate on real-time monitoring, such as tasks, and the collected mass data processing, and then sent through a wireless network in a timely manner to the user.
提出了一种不相交路径路由算法，可以将感知节点采集到的数据通过不相交路径传送到汇聚节点，提高路由的可靠性。
To solve the common-link and common-node problem, disjoint multi-path routing (DMPR) is employed where sensors send data to the sink through link-disjoint or node-disjoint path.
提出了一种不相交路径路由算法，可以将感知节点采集到的数据通过不相交路径传送到汇聚节点，提高路由的可靠性。
To solve the common-link and common-node problem, disjoint multi-path routing (DMPR) is employed where sensors send data to the sink through link-disjoint or node-disjoint path.
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