Large-scale intelligent warehousing distributed sorting system

Abstract

The invention discloses a large-scale intelligent warehousing distributed sorting system. By using a current intelligent warehousing system, a scale is limited, deployment cost is high and large scaledeployment can not be realized. The system of the invention is mainly used to solve the above problems. The system comprises a central control server (1), a plurality of sorting platforms (2), a plurality of mobile robots (3), a plurality of movable shelves (4) and a plurality of scheduling servers (5). The central control server is communicated with the plurality of sorting platforms and the plurality of scheduling servers in a wired mode. Each mobile robot is wirelessly communicated with the scheduling servers and completes the carrying of the different movable shelves according to the instruction of the system. The scheduling servers are arranged in the different areas of a warehouse. Under the assistance of the central control server, the task scheduling of the mobile robots is completed, and the mobile robots are controlled to avoid collision during an operation process. By using the system of the invention, operation efficiency is high, anti-interference performance is good during operation, the extensible capability of deployment is good, and the system can be used for large-scale warehouse logistics management.

Description

technical field [0001] The invention relates to intelligent warehousing technology, in particular to an intelligent warehousing distributed picking system, which is suitable for large-scale warehouse logistics management. Background technique [0002] With the development of economic globalization and the rapid rise of e-commerce, people's consumption habits have also undergone tremendous changes, and online shopping has become a trend. This has not only led to the explosive growth of a number of express delivery companies, but also brought a series of challenges to traditional warehousing and logistics. Under the market pressure of consumption upgrading and transformation, massive inventory management and uncontrollable labor costs have become common problems in e-commerce, retail and other industries, especially the sharp increase in order tasks is a higher challenge for the modern warehouse logistics industry. standard requirements. [0003] In the current intelligent w...

AI Technical Summary

Problems solved by technology

However, due to the complex environment of the warehouse and the dense distribution of shelves, the sensing range of the sensor is easily affected by the environment, especially at intersections. Due to the obstruction of the shelves, the sensing range is small, which leads to errors in the collision avoidance decision of the mobile robot.

It is precisely because of the complex environment that mobile robots require a large number of high-precision sensors, which leads to high cost of mobile robots and limits the deployment of large-scale storage systems.

If in order to achieve the global optimum, the central control server counts the global mobile robot information, and performs tasks such as task assignment, path planning, and collision avoidance. With the expansion of the warehouse scale and the increase in the number of mobile robots, the central control server’s The amount of calculation increases exponentially, seriously affecting the scalability of the system

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