Research On Status Monitoring And Intelligent Access Algorithm Of Automated Stereoscopic Warehouse

Automatic three-dimensional warehouse is an important part of modern warehousing logistics system,which is responsible for the temporary storage and management of materials.With the development of information technology,three-dimensional storage in the process of internal circulation has a very considerable amount of data.The data is contained a large number of goods information and stereoscopic warehouse itself,but the existence of three-dimensional warehouse storage of information acquisition and processing power is not enough,cargo data status monitoring capacity and operational efficiency are low directly.In this thesis,the real-time status monitoring system of three-dimensional warehouse,its location distribution and cargo picking optimization are studied.In order to improve the transparency of all kinds of data in stereoscopic warehouse and solve the problem of real-time status monitoring.In this thesis,the data characteristics of three dimensional warehouse is analyzed,and the functional structure of three-dimensional status monitoring system based on embedded technology is designed.These functions are aggregated into inbound node,inventory node,outbound node,logistics node and environment node,these data are collected and monitored respectively.According to the designed function and state monitoring node layout,complete the system hardware selection.STM32F407 is selected as the main controller and STM32F103 as the controller of the logistics node.Several modules including UHF RFID reader,camera,UWB,infrared detection,environmental sensor and other modules are configured to complete the hardware system integration.Based on embedded technology,the real-time status monitoring software system of three-dimensional warehouse is constructed.Considering the problem that the data density representing the operation state of the warehouse is high and the non-target data is easy to be collected,a function of data filtering is designed.In order to avoid the same data might been collected many times in the process of collection,a function of clearing redundant data is designed.Aiming at the problem of low positioning accuracy and poor real-time performance of mobile devices in warehouse,the function and communication program design of indoor positioning base station are completed.Complete function calls,data decoding and state judgment for cameras,outbound monitoring sensors and environmental sensors.Realize real-time monitoring of QR code,goods electronic label,location information,outbound information and environmental information.In order to solve the problem of space allocation and optimization in three-dimensional warehouse,a multi-objective space allocation and optimization model is established based on stacker operation time,shelf stability and cargo correlation as performance indexes,and the corresponding coding method and adaptive genetic algorithm are designed.Aiming at the optimization problem of stacker’s picking order in and out of storage,an optimization model is established and an improved genetic algorithm is designed to solve the model by taking the total running time of stacker to complete the batch of stacker’s picking order in and out of storage as the performance index.In this thesis,in the MATLAB environment,the corresponding examples are selected to test,to verify the feasibility and effectiveness of the algorithm.The last chapter tests on the function of whole system and all data nodes and sensors.In these tests,the real-time data acquisition is satisfied,the accuracy of the acquisition results is high,and the function of high-density real-time data acquisition of the three-dimensional warehouse is realized.These test results show that the developed system in the thesis runs stably and provide an effective solution for the three-dimensional warehouse management information and storage information transparency.