摘要
为提升机电环境设备监控系统的实时性和准确性,降低机电环境设备的故障率,模块化设计基于DSP和CAN的机电环境设备监控系统。模块化设计综合采集模块、通信管理模块和分析模块。综合采集模块选取DSP为核心处理器,实现信号的实时采集,并将信号转换成电参量,传输至通信管理模块;通信管理模块以CAN总线的控制器TMS320LF2407A作为核心处理器,通过CAN2.0B协议,实现CAN总线数据的实时通信,提升通信的可靠性和抗干扰能力;分析模块采用改进传统连接树传播方法,实现设备故障的实时检测。经实验验证:该系统采集的频率误差全部未大于2 Hz,具有较好的信号采集能力;故障检测率始终在95%以上;故障隔离率始终保持在96%以上。该系统的安全性与可管理性较强,存储形式简便,数据库并未出现较大空间限制,设备故障的实时监控效果好,能够降低机电环境设备的故障率。
In order to improve the real-time and accuracy of electromechanical environmental equipment monitoring system and reduce the failure rate of electromechanical environmental equipment,the DSP and CAN monitoring system based on electromechanical environmental equipment is modular designed.Modular design of integrated acquisition module,communication management module,and analysis module.The comprehensive collection module selects DSP as the core processor to realize the real-time acquisition of the signal,and transforms the signal into an electrical parameter,and transmits it to the communication management module.The communication management module takes the controller TMS320LF2407A of CAN bus as the core processor,realizes the real-time communication of CAN bus data and improves the communication reliability and anti-interference capability;the analysis module improves the traditional connection tree communication method to realize the real-time detection of equipment failure.Through experimental verification:the frequency error collected by the system is not more than 2 Hz,with good signal acquisition capability;fault detection rate is always above 95%;fault isolation rate is always above 96%.The system has strong safety and manageability,simple storage form,no large space restrictions in the database,and good real-time monitoring effect of equipment failure,which can reduce the failure rate of electromechanical environment equipment.
作者
张鑫
张向顺
赵惟诚
郭永志
ZHANG Xin;ZHANG Xiangshun;ZHAO Weicheng;GUO Yongzhi(The Third Construction Co. , Ltd. of China Construction Eighth Engineering Bureau,Jiangsu Nanjing 210000,China)
出处
《工业仪表与自动化装置》
2021年第6期21-25,87,共6页
Industrial Instrumentation & Automation
作者简介
张鑫(1982),男,吉林长春人,本科,研究方向为建筑环境与设备工程。