云边端协同下的织机设备信息采集与监测系统

Loom data acquisition and monitoring system under cloud edge collaboration

针对现阶段采用传统单一化上层云端对织造信息进行集中管理,易产生信息传输困难、可靠性低等情况,设计了一套基于云边端协同的织机设备信息采集与监测系统。首先,从中心云端、边缘端和设备终端对系统的总体架构进行设计;再从信息通信协同、数据存储协同和计算服务协同这3个方面对织机设备信息的通信、存储和应用服务展开研究;最后,以石家庄某织布车间的必佳乐OMNIPLUS-340型喷气织机作为测试对象验证系统的可靠性。结果表明,与纯云端通信模式对比,所设计系统平均通信延迟时间下降了20.8 s,平均通信吞吐率下降了446.58 Mb/h,为织造智能化生产提供了高可靠、高质量的数据支撑。

Objective In order to improve the reliability of information collection and production control,a loom data acquisition and monitoring system based on cloud edge collaboration was designed.Research was conducted on from three aspects,i.e.,information communication collaboration,data storage collaboration,and computing service collaboration,aiming to provide highly reliable and high-quality data support for intelligent production of weaving.Method In terms of information communication collaboration,this research designed a unified communication module for the underlying terminal information,determines the information communication format of the cloud edge,and developed information communication services for the edge and central cloud.On data storage collaboration,an information model for weaving equipment was defined,and real-time caching data storage solutions for edge end and historical data storage solutions for central cloud end big data were designed.with respect to computing service collaboration,the principle of"demand-based requests at the edge and unified control at the central cloud"was followed to achieve reasonable execution and control of various service applications under cloud edge collaboration.Results Information communication and processing functions of the central cloud was verified.In order to further reflect the information communication ability of cloud edge collaborative communication,the communication terminals of the underlying devices and the edge end were set up through signal transmission without information analysis and buffering preprocessing,based on the above cloud edge network topology architecture.Communication performance between pure cloud and cloud edge collaborative communication modes was compared,which was concentrated on communication time consumption between pure cloud communication and cloud edge collaborative communication for a total of 102 looms in 17 random groups of devices.Among them,the average communication delay of each group of devices in pure cloud communication mode was 25.54 s,and the average communication delay of each group of devices in cloud edge collaborative communication was 4.74 s.The information upload and download traffic corresponding to 24 h was in two communication modes:pure cloud communication and cloud edge collaborative communication.The average information upload traffic per hour in cloud edge mode was 54.5 Mb/h,and the average download traffic was 365 Mb/h.In the communication processing mode of the central cluster,the average hourly information upload traffic was 111.58 Mb/h,and that for the average download traffic was 754.5 Mb/h.In pure cloud communication,the central cloud server was required to perform identity verification before accessing information to each device,while in cloud edge communication mode,the device terminal and edge end completed the identity verification in advance and cache information.Therefore,the information processing time and transmission consumption flow were much lower in cloud edge communication mode than in pure cloud communication mode,demonstrating superiority of cloud edge collaborative communication mode.Conclusion At present,the system proposed in this paper has been applied in the actual production environment of the weaving workshop,and the results show that the system is stable and reliable,which can meet the intelligent application requirements in weaving production scenarios and improve the production and operation efficiency of the weaving workshop.