基于超载超限检测系统的大数据分析系统设计  被引量:1

Design of Big Data Analysis System Based on Overload and Overrun Detection System

在线阅读下载全文

作  者:柯盛文 姚玉明 段俊颖 詹铭坚 KE Sheng-wen

机构地区:[1]宁波柯力传感科技股份有限公司

出  处:《衡器》2021年第12期1-5,共5页Weighing Instrument

摘  要:公路超载超限检测系统数据包括站点、时间和日期、车牌、车速、轴数、载重、限重、车辆长宽高、抓拍图片、抓拍视频、法律文书、处罚记录、路迹、分析结果等,为其他领域平台提供所需的业务数据。利用数字化的手段来处理整个公路工程在其全生命周期中的所有相关信息,最大限度的利用资源、使得业主或运营商能够实现对公路资源进行高效的运营管理,提供增值服务、可持续发展、运营、养护、重建、改建等各种决策支持,同时也能够帮助公路用户及时方便的获取需要的相关信息。提升超载超限检测系统智能化水平,进一步提高超载超限检测系统的运行效率及降低运行成本,通过大数据分析来量化细化系统中缺陷环节或质量不可靠环节,对超载超限检测系统进行改进和优化,不断改善超载超限检测系统的成熟度,为后续超载超限检测系统的建设积累经验,提供数据服务。The data of highway overload and overrun detection system includes station,time and date,license plate,vehicle speed,axle number,load,weight limit,vehicle length,width and height,captured pictures,captured videos,legal documents,punishment records,road tracks,analysis results,etc.,so as to provide the required business data for platforms in other fields.Big data analysis uses digital means to process all relevant information of the whole highway project in its whole life cycle,make maximum use of resources,enable the owner or operator to realize efficient operation and management of highway resources,and provide value-added services,sustainable development,operation,maintenance,reconstruction,reconstruction and other decision support.At the same time,it can also help highway users obtain relevant information in time and conveniently.Improve the intelligent level of overload and overrun detection system,further improve the operation efficiency and reduce the operation cost of overload and overrun detection system,quantify and refine the defective links or unreliable quality links in the system through big data analysis,improve and optimize the overload and overrun detection system,and continuously improve the maturity of overload and overrun detection system.Accumulate experience and provide data services for the construction of subsequent overload and overrun detection system.

关 键 词:超载超限 大数据分析 全生命周期 数字公路 数据服务 

分 类 号:TH715.1[机械工程—测试计量技术及仪器]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象