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作 者:王鑫[1,2] WANG Xin(Northwestern Polytechnical University Unmanned System Research Institute,xi'an 710072,China;Shaanxi Transportation Holding Group Co.,Lid,xi'an 710065,China)
机构地区:[1]西北工业大学无人系统技术研究院,西安710072 [2]陕西交通控股集团有限公司,西安710065
出 处:《自动化与仪器仪表》2021年第10期1-4,12,共5页Automation & Instrumentation
基 金:陕西省自然科学基础研究计划—一般项目(青年):面向“互联网+应用”的多媒体信息个性化推荐理论研究(No.2017JQ6076)。
摘 要:随着经济快速发展,绿色农产品货物运输需求不断增加,实现绿通车辆应检必检并且保障绿色通道快速通行是高速公路管理单位的痛点,通过建立基于数据服务体系的高速公路绿色通道大数据平台,实现对绿通全业务周期的数据感知、分析建模、行业应用,并且依托绿通大数据中心建立绿通信用体系,改变传统的人工检查方式,按照信用等级对绿通车辆进行分级分类查验,为绿通管理单位带来提质增效、堵漏增收的有益效果。With the rapid development of economy, the transportation volume of green agricultural products continues to increase. It is significant for highway administrative department to ensure that vehicles of green channel should be inspected and must be inspected, and to ensure the fast passage of green channel. In this paper, through the establishment of highway green channel intelligent detection system based on data service system, the data perception, data analysis, data modeling and industry application of green channel all time are realized. In addition, relying on the big data center of green channel, the system of green channel communication is established, the traditional manual inspection method is replaced, and the vehicles of green channel are classified and inspected according to the credit level, which brings beneficial effects of improving quality and efficiency, plugging leakage and increasing revenue for the highway administrative department of green channel.
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