Problem Statement

The demand for logistics services from large companies like Coupang and Amazon is on the rise, emphasizing the increasing importance of IT innovation in the logistics industry. Traditional labor-intensive logistics is shifting towards intelligent and ubiquitous supply chain management. Smart logistics warehouses, with automation as their core feature, are garnering significant attention due to their ability to facilitate rapid and accurate processes. In May 2021, South Korea introduced the Smart Logistics Center Certification, which has certified 18 logistics centers. These centers, such as CJ Korea Express' "Gonjiam Mega Hub" and PASTO's "Yongin 1 Center," employ advanced technologies like automated sorting systems and AI-based logistics optimization. Facilities like Logisvalley SLK and Logisvalley Cheonma integrate automation equipment and information systems to enhance efficiency and accuracy. HANARO TNS' "Dongtan Logistics Center" achieved the highest certification grade (Grade 5) by developing an in-house logistics system. However, it's worth noting that more than 52.8% of domestic logistics facilities are over 20 years old. Smart logistics warehouses offer numerous benefits, including improved efficiency, cost savings, enhanced inventory management, better customer service, and data analysis for process optimization.

Pre planning

The project's objective is to establish a smart logistics system, comprising the following key components:

  1. Database management and item status inquiries accessible via a website.
  2. Control of robots and logistics scanning capabilities through a mobile app.
  3. Implementation of autonomous driving functionality in robots.
  4. Seamless communication channels connecting the website, app, and robots.
  5. Development of a conveyor belt system utilizing Arduino.

발표 ppt.png

Objective

The project's desired outcomes encompass:

  1. Precise logistics scanning employing AVSession and transmitting scanned data to the server using Alamofire.
  2. Creation of an iOS app offering a map view to track Turtlebot movements and visualize scanned data.
  3. Establishment of a server using the NestJS JavaScript server framework to facilitate communication between the app, web, and data.
  4. Deployment of the developed server via AWS Cloud services.
  5. Development of a web application using Svelte to simplify the creation and management of a Single-Page Application (SPA) for Content Management System (CMS) purposes.
  6. Implementation of Simultaneous Localization and Mapping (SLAM) using Gmapping and storage of map data.
  7. Control of Turtlebot movements, ensuring secure transportation to specified destinations through ROS topics.