摘要：本公开涉及一种拣选单分配方法、装置、存储介质及电子设备，具体涉及智能仓储技术领域，其中方法包括：对与拣选单分配规则对应的规则参数进行分析，获得规则参数的优化值，其中，该拣选单分配规则可用于拣选单分配工作站；再根据规则参数的优化值更新拣选单分配规则；然后按照更新后的拣选单分配规则，将拣选单分配给对应的工作站。通过应用本公开的技术方案，基于优化后的规则参数进行拣选单的分配，使得拣选单分配工作站更加合理，可减少出现选单分配工作站不合理的情况，可提高拣选单的处理效率，进而可提高仓库系统中的拣选效率。

摘要：【中文】本发明公开了一种基于时空大数据的景区实时负荷监控方法及系统，方法包括以下步骤：S1、获取景区客流量数据；S2、进行景区地图分块；S3、对客流数据进行区域划分；S4、参考景区过往的真实客流数据以及最大负荷数值，为景区的每个景点设置一个游客载流上限标签，记为tValue，并将负荷阈值设置为游客载流量上限*80％；S5、对步骤S1获取的客流量数据进行处理，判断景点客流量是否超负荷；S6、采用基于百度Echarts的景区实时客流分布密度热力图展示当前客流量信息。本发明能够根据景区内各景点最大游客承载能力，为景区提供超负荷短信预警，实时负荷状态监控。 【EN】The invention discloses a scenic spot real-time load monitoring method and a system based on space-time big data, wherein the method comprises the following steps: s1, obtaining scenic spot passenger flow volume data; s2, carrying out scenic spot map partitioning; s3, carrying out region division on the passenger flow data; s4, referring to past real passenger flow data and a maximum load value of a scenic spot, setting a tourist current carrying upper limit label for each scenic spot of the scenic spot, recording the tourist current carrying upper limit label as tValue, and setting a load threshold as 80% of the tourist current carrying upper limit; s5, processing the passenger flow data obtained in the step S1, and judging whether the scenic spot passenger flow is overloaded or not; and S6, displaying the current passenger flow information by adopting a scenic spot real-time passenger flow distribution density thermodynamic diagram based on the Baidu Echarts. The invention can provide overload short message early warning and real-time load state monitoring for the scenic spots according to the maximum tourist carrying capacity of each scenic spot in the scenic spots.