混沌粒子群优化算法模型的建筑电气终端监控方法  

Building Electrical Terminal Monitoring Method Based on Chaotic Particle Swarm Optimization Algorithm Model

作　　者：冯琢 FENG Zhuo(Chongqing Free Trade Port Area Development and Management Group Co.,Ltd.,Chongqing 400000,China)

机构地区：[1]重庆保税港区开发管理集团有限公司,重庆400000

出　　处：《自动化与仪表》2022年第7期68-71,87,共5页Automation & Instrumentation

摘　　要：为了提高建筑工程信息监控与分析能力,该研究通过多种形式的监控系统实现不同角度的数据监控,通过集成多种形式的监控系统实现建筑结构信息的多层化监控,实现数据信息的可视化监控,通过采用基于ARM内核的XScale嵌入式处理系统实现不同形式数据新型的采集与传递,并通过Apriori算法模型提高了建筑工程信息关联分析能力,通过构建具有粒子群算法模型的蚁群算法,增强数据分析能力。试验表明,该研究方法的搜索能力显著提高,误差低,建筑工程信息监控能力大大提高。In order to improve the ability of construction engineering information monitoring and analysis,this research uses multiple forms of monitoring systems to achieve data monitoring from different angles,and integrates multiple forms of monitoring systems to achieve multi-level monitoring of building structure information,and achieve visual monitoring of data information.By adopting the XScale embedded processing system based on the ARM core to realize the new collection and transmission of different forms of data,and through the Apriori algorithm model to improve the construction engineering information correlation analysis ability,and to enhance the data by constructing an ant colony algorithm with a particle swarm algorithm model skills of analyze.Experiments show that the search ability of this research method is significantly improved,the error is low,and the construction engineering information monitoring ability is greatly improved.

关 键 词：嵌入式处理器 终端监控 数据管理 粒子群算法模型 搜索能力 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]