The field bus technique relates to several fields of intelligent instrument, network communications, real-time control, integrated circuit technique and computer technology etc.
现场总线技术具有丰富的内涵，涉及到智能仪表技术、网络通信技术、实时控制技术、集成电路技术和计算机技术等诸多领域。
This model has a certain guidance meaning for realization of the intelligent monitoring and diagnosis system, is helpful to build an integrated, intelligent, automation and network diagnosis system.
该模型对智能监测与诊断系统的实现具有一定的指导意义，有利于建立集成化、智能化、自动化和网络化的诊断系统。
Finally, taking ADRT as the application object, using the integrated inference technology of rule diagnosis and Bayesian Network diagnosis methods, we develop the intelligent fault diagnosis system.
最后，以自动门为应用对象，采用规则诊断与贝叶斯诊断集成推理技术，开发了自动门智能故障诊断系统。
Aiming at the secure problems during the rapid development of wireless network, this paper presents a novel integrated secure gateway for intelligent wireless networks.
本文针对无线网络飞速发展过程中所遇到的安全问题，提出了一种新型的智能化无线综合安全网关。
In this paper, the actuality of current network management system is briefly analyzed, and then the concept of intelligent integrated network management (IINM) is introduced.
本文首先分析了当前网络管理系统的特点和需求，在此基础上提出了智能集成网络管理(INM)的概念。
Based on OPC standards of design and development of intelligent buildings integrated network management system.
基于OPC技术标准进行设计与开发的智能楼宇网络集成管理系统。
We put forward an module integrated expert and neural network. The hardware and software are also given. It is proved that the intelligent integrated system effctive.
提出并实现了一种基于专家系统和神经网络集成的方法。同时给出了系统的硬、软件结构，并通过实验证明该智能故障诊断系统的可靠性和准确性。
Wireless sensor network(WSN) is an integrated intelligent information system, which can process and transmit the gathered information.
无线传感器网络是集信息采集、信息处理和信息传输于一体的综合智能信息系统。
By means of artificial intelligence and neural network, an integrated intelligent modelling on underground engineering mechanics was presented.
应用人工智能、神经网络等新兴学科理论，提出了地下工程力学综合集成智能的分析方法。
By means of artificial intelligence and neural network, an integrated intelligent modelling on underground engineering mechanics was presented.
应用人工智能、神经网络等新兴学科理论，提出了地下工程力学综合集成智能的分析方法。
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