摘要
为实现智能交通运维自动化程度、覆盖范围等方面的提升,引入大数据分析下的智慧交通自动化运维系统。将系统架构设计为三层结构,为系统设计多个模块。在数据处理模块中,设计一种能够处理大批量数据的数据处理模块。数据采集模块能够通过大数据分析技术中的物联网感知技术实现数据采集。通过视频质量分析模块能够对视频源实施质量判别。运维管理模块能够实现智慧交通运维信息的管理。故障自动跟踪溯源模块能够通过挖掘和提炼采集数据对推断故障根源。通过硬件与软件相结合实现智慧交通自动化运维。测试设计系统的多个项目,测试结果为系统能够实现该市服务器等设备的完全检测以及其他设备的大面积检测;系统信号丢失检测的检测帧数可达523214帧/日;系统的外场设备链路重复告警过滤数最高可达912条/月,有着良好的重复告警过滤性能;系统的内外场设备故障溯源性能均良好。说明系统的设计对于提高智慧交通的自动化运维水平有一定意义。
In order to improve the degree of automation and coverage of operation and maintenance,a smart transportation automation operation and maintenance system based on big data analysis is designed.The system architecture is designed as a three-tier structure,and multiple modules are designed for the system.In the data processing module,design a data processing chip capable of processing large quantities of data.The data collection module can realize data collection through IoT perception technology in big data analysis technology.Through the video quality analysis module,the quality of the video source can be judged.The operation and maintenance management module can realize the management of intelligent transportation operation and maintenance information.The automatic fault tracking and tracing module can infer the root cause of the fault by mining and refining the collected data.Intelligent transportation automation operation and maintenance is realized through the combination of hardware and software.Multiple items of the system is test and designed.The test result is that the system can achieve complete detection of servers and other equipment in the city and large-area detection of other equipment;the number of detection frames for system signal loss detection can reach 523214 frames/day;the system’s field equipment chain The number of repetitive alarms can be filtered up to 912 per month,and it has good repetitive alarm filtering performance;the system’s internal and external field equipment fault traceability performance is good.It shows that the design of the system has a certain significance for improving the automation operation and maintenance level of smart transportation.
作者
池葆春
CHI Baochun(Xi'an University of Science and Technology,Xi’an710054,China)
出处
《自动化与仪器仪表》
2022年第3期68-72,共5页
Automation & Instrumentation
基金
陕西省教育厅科研计划项目资助:陕西省教育厅科研计划项目资助(No.18JK0500)。
关键词
大数据分析
智慧交通
同步FIFO传输
数据处理芯片
自动化运维系统
big data analysis
smart transportation
synchronous FIFO transmission
data processing chip
automated operation and maintenance system