Intelligent traffic dispatching of railway portrait retrieval platform
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摘要: 铁路人像检索平台建立之初，对业务地址的管理是通过Apollo配置中心手动修改的方式完成。操作流程复杂，运维效率低下。流量智能导航可以有效解决业务地址的均衡调度问题。文章描述人像检索平台的功能组成与技术架构，指出既有平台的运维效率低下与流量调度不均衡等问题；通过配置改造，形成业务路由地址池，并以各车站预估的日客流量作为参考，提出车站的等级划分，形成车站权重值；设计依托权重的流量智能调度策略。业务流量智能调度的实现，简化了运维工作，使得人像检索平台的业务流量调度更加均衡。Abstract: At early stage of the establishment of the railway face retrieval platform, the management of business address was completed by the manual modification of Apollo configuration center. Its operation process was complicated and maintenance efficiency was low. The intelligent traffic navigation could effectively solve the problem of balanced dispatching with the business address. This paper described the functional composition and technical architecture of the portrait retrieval platform, pointed out the problems of the existing platform such as low operating efficiency and unbalanced traffic dispatching. Through configuration transformation, the service routing address pool was formed, and according to the estimated daily passenger flow of each station, the concept of station grade was put forward and the station weight was formed, intelligent traffic dispatching strategy was designed based on weight. The implementation of intelligent traffic dispatching simplified the work of operation and maintenance, made the traffic dispatching of portrait retrieval platform more balance.
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表 1 平台车站等级定义
前日客流量/万 当日预估客流量/万 车站等级 0~2 0~3 1 2~3 3~4.5 2 3~4 4.5~6 3 4~5 6~7.5 4 5~6 7.5~9 5 6~7 9~10.5 6 7+ 10.5+ 7 
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表 2 新增导航记录表
名称 类型 说明 station_telcode varchar 车站电报码 station_tag varchar 车站标识（on:发站，off:到站） weight Int 车站流量权重（1~7，与等级对应，等级越高，权重越大） route varchar 导航路由地址 ext1 varchar 扩展字段1 ext2 varchar 扩展字段2 ext3 varchar 扩展字段3
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