Logistics order high-dimensional sparse clustering sorting method
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An order and clustering technology, which is applied in the field of high-dimensional sparse clustering and sorting of logistics orders, can solve the problems that affect the sorting and distribution of logistics orders, inflexibility, and waste of order processing time.
Active Publication Date: 2020-04-24
BEIJING UNIV OF CIVIL ENG & ARCHITECTURE
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The existing logistics order sorting method is extremely inflexible in practical application, which will cause the porter or the transport robot to take repeated or redundant paths during the sorting process, and will also cause a lot of waste in order processing time, which will affect the Sorting and distribution of logistics orders with time constraints
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Embodiment 1
[0063] Such as figure 1 As shown, what is described in Embodiment 1 of the present invention is a high-dimensional sparse clustering and sorting method for logistics orders, which includes:
[0064] Step 1. Sort the real-time logistics orders according to the time limit requirements of delivery time. Sorting according to the time limit requirements of the delivery time of the orders can first ensure that the orders that are urgently delivered can be delivered in a limited manner.
[0065] Step 2. Use the order information of all real-time logistics orders to find similar orders through a high-dimensional sparse clustering algorithm.
[0066] Step 3. Merge and summarize all the similar orders found into one order cluster, count all the commodities in the order cluster and hand them over to the sorting staff or sorting robot for one-time picking, and after all the commodities are sorted, sort them according to the order cluster. Each order is shipped separately.
[0067] Acco...
Embodiment 2
[0094] Embodiment 2 of the present invention describes a high-dimensional sparse clustering and sorting system for logistics orders, which includes:
[0095] Time limit sorting module, which is used to sort real-time logistics orders according to the time limit requirements of delivery time;
[0096] A similar order module, which is used to find similar orders through the high-dimensional sparse clustering algorithm of the order information of all real-time logistics orders;
[0097] Order clustering module, which is used to combine and summarize all similar orders found into one order cluster. All the commodities in the statistical order cluster are handed over to the sorting personnel or sorting robot for one-time picking, and after all the commodities are sorted, press Individual orders in an order cluster are shipped separately.
[0098] Further, the time limit sorting module includes:
[0099] Order function module, which is used to define the real-time order function a...
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Abstract
The invention discloses a logistics order high-dimensional sparse clustering sorting method. The method comprises the following steps: step 1, sorting real-time logistics orders according to time limit requirements of delivery time; step 2, finding similar orders from the order information of all the real-time logistics orders through a high-dimensional sparse clustering algorithm; and step 3, combining and summarizing all the found similar orders into an order cluster, counting all commodities in the order cluster, delivering all the commodities to a sorting person or a sorting robot for sorting once, and after all the commodities are sorted, respectively distributing the commodities according to each order in the order cluster. The method has the beneficial effects that the sorting and carrying distance can be effectively reduced, the order sorting time is shortened, and the order sorting efficiency is improved; order processing of the sorting method is more flexible than that of anexisting sorting method; more commodity feature information can be added according to clustering requirements in practical application, so that more targeted clustering can be obtained; the method canbe applied to a multi-scene logistics sorting system and has a wide prospect in the market.
Description
technical field [0001] The invention relates to the field of logistics order sorting, in particular to a high-dimensional sparse clustering and sorting method for logistics orders. Background technique [0002] The existing sorting methods for logistics orders include: (1) order picking, that is, when the order is picked, the goods are placed in different baskets according to the order, and then sent to the packaging place; (2) aggregate picking Goods, that is, when picking goods, put the goods in different item baskets according to the order, and then send them to the packing place; (3) fixed batching, that is, when picking goods, the goods orders are grouped into a group according to a fixed batch, and the The commodities of all orders are picked centrally and distributed according to the order. The existing logistics order sorting method is extremely inflexible in practical application, which will cause the porter or the transport robot to take repeated or redundant path...
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