工业自动化DCS的网络优化通信过程仿真

Simulation of Communication Process for Industrial Automation Network Optimization of DCS

采用传统方法进行DCS的网络通信优化时,由于网络通信的信息量比较多、传输速度较慢,会出现信息负载和信息之间互相干扰的现象,造成信息帧发生碰撞和系统通信的安全性及通信效果较差等问题。为此,提出基于小生境人工蜂群算法的工业自动化DCS的网络通信优化方法。针对DCS网络通信传输的特性,定义其通信优化性能的评价指标,并构建DCS网络信道模型,依据小生境人工蜂群算法的相关理论,将信息进行合理调整,首先计算获取种群个体的适应度值,然后与搜索子群中的最优解进行比较,获得更优解,直至达到最大迭代次数,输出搜索的最优结果,即可实现DCS的网络通信优化。实验结果表明,利用改进算法进行工业自动化DCS的网络通信优化,能够提高网络通信的抗干扰性、及时性和可靠性,并减少因干扰造成的数据丢失率,保证了工业自动化DCS的网络通信性能。

An optimization method of DCS for industrial automation network communication is presented based on niche artificial colony algorithm. According to the characteristic of DCS network communication transmission, the e- valuation index of optimal performance is defined, the communication channel model is established, the DCS system network is built based on related theory of niche artificial colony algorithm, and the information is adjusted reasona- bly. Firstly, the fitness value for individual species is calculated, and then it is compared with the optimal solution in the searching subgroup, and a more optimal solution is got. Until the maximum number of iterations, the optimal searching results are obtained, and the optimization of DCS network communication can be realized. The experimen- tal results show that the proposed algorithm can improve the anti - interference, timeliness and reliability of network communication, and reduce data lost.