CN-122009711-A - AMR unmanned forklift-based intelligent storage sorting system and method

CN122009711ACN 122009711 ACN122009711 ACN 122009711ACN-122009711-A

Abstract

The application provides an intelligent storage sorting system and method based on an AMR unmanned forklift, relates to the technical field of storage logistics automation, and solves the technical problems of static stiffness of storage allocation, insufficient equipment coordination and scheduling capability, unsmooth sorting procedure connection, low integration level of an external system and lack of three-dimensional real-time sensing and early warning of storage states in the prior art. The system comprises a warehouse management module, a task scheduling module, an AMR unmanned forklift, an annular sorting conveyer belt, an express platform interface and an express sorting system, wherein the warehouse management module is used for acquiring goods order information and dynamic inventory information and carrying out storage optimization allocation to generate an operation instruction, the task scheduling module is used for receiving the operation instruction to generate a corresponding carrying task, the AMR unmanned forklift is used for receiving and executing the carrying task, the annular sorting conveyer belt is used for receiving goods carried by the AMR unmanned forklift and sequentially carrying out sorting, rechecking and packaging operation of the goods, and the express platform interface is used for guiding packages into the express sorting system after packaging is completed. The application is used in the warehouse logistics sorting process.

Inventors

CHENG SHUGANG
XU QIAN
CHU JIANHUA
JIA HAOYU
ZHU WENJIA
WANG SHISONG

Assignees

江苏中博通信有限公司

Dates

Publication Date: 20260512
Application Date: 20260310

Claims (10)

1. An intelligent warehouse sorting system based on an AMR unmanned forklift is characterized by comprising a warehouse management module, a task scheduling module, the AMR unmanned forklift, an annular sorting conveyer belt, an express platform interface and a visual monitoring platform; the warehouse management module is used for acquiring goods order information and dynamic inventory information, and performing position optimization allocation on the goods order information based on the ABC classification method and the dynamic inventory information to generate an operation instruction; The task scheduling module is used for receiving the operation instruction, generating a corresponding carrying task and scheduling the AMR unmanned forklift; The AMR unmanned forklift is used for receiving and executing a carrying task and conveying cargoes to a designated storage position or an annular sorting conveyer belt; the annular sorting conveyor belt is used for receiving cargoes conveyed by the AMR unmanned forklift and sequentially carrying out picking, rechecking and packing operations of the cargoes; the express delivery platform interface is used for automatically generating express delivery bill information after packaging is completed and guiding the packages into an express delivery sorting system; The visual monitoring platform is used for displaying warehouse layout, equipment state, task progress and inventory data in real time.
2. The intelligent warehouse sorting system based on the AMR unmanned forklift as claimed in claim 1, wherein the warehouse management module further comprises a dynamic storage allocation unit and a warehouse information management unit; The dynamic storage allocation unit is used for dynamically calculating and allocating storage shelf positions for the new warehouse goods according to ABC classification attributes, sizes, weights and preset storage priority rules of the goods in combination with a real-time three-dimensional warehouse capacity model of the warehouse; The warehouse information management unit is used for carrying out data bidirectional synchronization with the enterprise ERP system and the express logistics platform, and carrying out automatic comparison and abnormal interception of receipt and delivery.
3. The intelligent warehouse sorting system based on the AMR unmanned forklift according to claim 2, wherein the three-dimensional warehouse capacity model is constructed in a manner comprising: generating a three-dimensional geometric model comprising a shelf, a channel and facilities through laser scanning or based on a warehouse CAD drawing; creating a corresponding digital twin storage object for each physical storage based on the three-dimensional geometric model, and associating storage ID, size and bearing attribute of the digital twin storage object; And updating the occupation state, the inventory information and the space residual condition of each digital twin storage bit object in real time through the state information fed back by the AMR unmanned forklift when executing the task and the data acquired by the fixed RFID or visual recognition equipment, so as to obtain a three-dimensional storage capacity model synchronous with the state of the physical warehouse.
4. The intelligent warehouse sorting system based on the AMR unmanned forklift according to claim 2, wherein the dynamic storage allocation unit further adopts a dynamic storage allocation model based on reinforcement learning to dynamically optimize a storage strategy, wherein the dynamic storage allocation model takes historical ex-warehouse frequency, order relevance and predicted order peaks as inputs, and aims at maximizing warehouse operation efficiency, and dynamically optimizes a threshold value and a storage priority rule of an ABC classification method.
5. The intelligent warehouse sorting system based on the AMR unmanned forklift according to claim 1, wherein the task scheduling module adopts a multi-AGV cooperative scheduling algorithm based on a real-time map, calculates an optimal operation path according to the electric quantity state, the task priority and the path congestion condition of the AMR unmanned forklift, and performs dynamic task allocation and traffic control of multiple vehicles to obtain a transport task.
6. The intelligent warehouse sorting system based on the AMR unmanned forklift as claimed in claim 5, wherein the AMR unmanned forklift is provided with a laser SLAM navigation unit, an automatic charging docking unit and a cargo identification and safety obstacle avoidance unit; The laser SLAM navigation unit is used for autonomous positioning and navigation in a warehouse epoxy terrace environment, wherein the laser SLAM navigation unit also comprises UWB ultra-wideband positioning and visual semantic tag identification and is used for dynamic obstacle avoidance and pre-collision braking in a dense goods shelf area and a dynamic obstacle scene; the automatic charging docking unit is used for automatically driving to a charging area for charging when the electric quantity is lower than a threshold value; the goods identification and safety obstacle avoidance unit is used for identifying goods information through a visual sensor or an RFID reader-writer and carrying out safety obstacle avoidance through a multi-line laser radar.
7. The intelligent warehouse sorting system based on the AMR unmanned forklift as claimed in claim 1, wherein the annular sorting conveyer belt has a three-layer annular structure, comprising a sorting layer, a rechecking layer and a cladding layer; the picking layer is used for receiving cargoes conveyed by the AMR unmanned forklift and transferring the cargoes to a picking station in parallel for picking; the rechecking layer is used for receiving the order boxes which are delivered from the picking layer and obtained after picking, and the order boxes flow to the rechecking station to carry out information checking; The packaging layer is used for receiving the checked order boxes, and the order boxes flow to a packaging station to be packaged, so that packaged packages are obtained; and automatic lifting delivery structures are arranged between the picking layer and the rechecking layer and between the rechecking layer and the packaging layer and used for automatically transferring the goods/order boxes between the upper layer and the lower layer.
8. The AMR unmanned forklift-based intelligent warehouse sorting system of claim 1, wherein the visual monitoring platform further comprises an anomaly pre-warning unit that automatically triggers an audible and visual alarm and pushes information to a manager when equipment fails, a task is overtime, or inventory data is anomalous.
9. The intelligent warehouse sorting system based on the AMR unmanned forklift of claim 1, further comprising a sorting control module for controlling the start and stop, speed regulation and sorting mouth guiding of the annular sorting conveyer belt, wherein the sorting control module has a self-adaptive speed regulation function based on load sensing, and the running speed of each section of the conveyer belt is dynamically adjusted by analyzing the queue length of each station, the personnel operation speed and the overall throughput of the system in real time.
10. An AMR unmanned forklift-based intelligent warehouse sorting method according to claim 1, comprising: acquiring goods order information and dynamic inventory information, and optimally distributing storage positions based on ABC classification methods and the dynamic inventory information to generate a job instruction; generating a corresponding carrying task according to the operation instruction and scheduling the AMR unmanned forklift; controlling an AMR unmanned forklift to execute a carrying task and conveying cargoes to a designated storage position or an annular sorting conveyer belt; Sequentially picking, rechecking and packaging cargoes carried by the AMR unmanned forklift; delivering the packed packages into an express sorting system through a closing port and synchronously updating the stock state; And recording the job data, and optimizing a storage allocation strategy and a task scheduling algorithm based on the historical data.

Description

AMR unmanned forklift-based intelligent storage sorting system and method Technical Field The application relates to the technical field of warehouse logistics automation, in particular to an intelligent warehouse sorting system and method based on an AMR unmanned forklift. Background The existing warehouse sorting system is mostly dependent on manual operation or semi-automatic equipment, and has the problems of stiff storage allocation, low equipment coordination efficiency, information island and the like. The traditional warehouse management system is based on static storage planning, is difficult to adapt to order fluctuation and stock dynamic change, an AGV scheduling strategy is limited to a preset path, lacks the capability of real-time obstacle avoidance and multi-vehicle cooperation, a sorting link is usually designed by a unidirectional pipeline, the procedures are not smoothly connected, the integration level with an express logistics platform is low, and information still needs to be manually input after the package is delivered out of the warehouse. In addition, the warehouse status monitoring is dependent on a two-dimensional view, lacks three-dimensional real-time sensing and early warning on equipment operation, inventory space and task progress, and influences overall operation efficiency and response speed. Disclosure of Invention The application provides an intelligent storage sorting system and method based on an AMR unmanned forklift, which solve the technical problems of static stiffness of storage allocation, insufficient equipment coordination and scheduling capability, unsmooth connection of sorting procedures, low integration level of an external system and lack of three-dimensional real-time sensing and early warning of storage states in the prior art. In order to achieve the above purpose, the application adopts the following technical scheme: the first aspect provides an intelligent warehouse sorting system based on an AMR unmanned forklift, which comprises a warehouse management module, a task scheduling module, the AMR unmanned forklift, an annular sorting conveyer belt, an express platform interface and a visual monitoring platform; the warehouse management module is used for acquiring goods order information and dynamic inventory information, and carrying out position optimization allocation on the goods order information based on an ABC classification method and the dynamic inventory information to generate an operation instruction, wherein the operation instruction comprises a warehouse-in instruction, a warehouse-out instruction and a inventory instruction; The task scheduling module is used for receiving the operation instruction, generating a corresponding carrying task and scheduling the AMR unmanned forklift; The AMR unmanned forklift is used for receiving and executing a carrying task and conveying cargoes to a designated storage position or an annular sorting conveyer belt; the annular sorting conveyor belt is used for receiving cargoes conveyed by the AMR unmanned forklift and sequentially carrying out picking, rechecking and packing operations of the cargoes; the express delivery platform interface is used for automatically generating express delivery bill information after packaging is completed and guiding the packages into an express delivery sorting system; The visual monitoring platform is used for displaying warehouse layout, equipment state, task progress and inventory data in real time. According to the intelligent warehouse sorting system based on the AMR unmanned forklift, an operation instruction is generated through intelligent storage allocation of the warehouse management module, accurate transportation is achieved through the AMR unmanned forklift under coordination of the task scheduling module, flow operation of sorting, rechecking and packaging is automatically completed through the annular sorting conveyor belt, finally, a logistics system is automatically docked through an express platform interface to form a full-flow automatic closed loop, meanwhile, operation state panoramic visualization is achieved through the visual monitoring platform, labor dependence and operation complexity are effectively reduced while sorting efficiency and accuracy are remarkably improved, and comprehensive improvement of the warehouse sorting system on operation cooperativity, process transparency and overall intelligent level is achieved. With reference to the first aspect, in one possible implementation manner, the warehouse management module further includes a dynamic storage allocation unit and a warehouse information management unit; The dynamic storage allocation unit is used for dynamically calculating and allocating storage shelf positions for the new warehouse goods according to ABC classification attributes, sizes, weights and preset storage priority rules of the goods in combination with a real-time three-dimensional warehouse capacity model of the war