An Autonomous Convenience Store in the type of Vending Machine of the Container with using Internet of Things, Bigdata, Deep Learning and Block Chain Technology

摘要

The present invention relates to a concept of the construction and design of a vending machine type convenience store implemented in a container through a smartphone, a method of operating multiple convenience stores, and a platform on the cloud. In order to order goods at convenience stores, when customers order their desired items online using a smartphone as an operating service platform, a convenience store located near the customer is selected and connected, and the goods stored on the shelves in the convenience store's container are controlled by a control system. It is a sales method that adjusts, picks and packs on the shelf and delivers it to the customer through an exit window in front of the container. Here, the present invention relates to an automated facility inside a container for implementing a convenience store function described in the present invention. First, a robot facility for transporting goods is an X axis-Y axis on the upper part of the container and a design to move up and down and a lower part behind the container. When the goods are received and the goods are delivered to the lower part of the front of the container, the transport robot is located at the entrance where the goods enter and picks up the goods while moving toward the exit. After placing the goods on the aisle between the storage shelf and the shelf, the transport robot attached to the Y-rail bar moves to the desired pallet position, increases and decreases up and down, arrives at the pallet, and uses the RFID chip and reader attached to the ordered robot arm It is to pick up the goods and put them in a cart, take them to the exit, pack them, and provide them to the customer. In order to make this automation efficient and optimal, the spatial position of the stacked goods storage pallet in the container was coordinated with XYZ and the moving distance, cost and time of the transport robot passing through it were quantified, and this was set as the target function of optimization. As a core concept, we proposed an algorithm that bundles orders with similar routes through deep learning in a way that efficiently responds to multiple orders at the same time through deep learning. In addition, since it is a fully automatic unmanned convenience store, all payments are made with a smartphone, and we propose a blockchain-based dedicated virtual currency as a safer and more efficient transaction method. As an effect on the present invention, first, a product shelf, a customer shopping space, a cash register, etc., which occupy the most space in an existing convenience store, are eliminated, and a customer searches for a product through a smartphone and makes an order payment, and only stores the product in a container. By automatically picking and packing in response to orders through automatic facilities to provide them to customers, it is possible to dramatically reduce rental and maintenance costs for maintaining existing stores. In particular, it can be implemented in a standardized container and simply installed to eliminate the cost of installing the store interior and other facilities. Second, the convenience store can be quickly installed in a small space, so it can be easily placed in more areas, so that it can be placed in a location that is most economically accessible to the customer according to the customer's demand, and can be easily moved if necessary. In addition, it builds big data by accumulating all information about customers and products, and makes it easy to build an optimal and efficient logistics system by applying deep learning using history. Third, by operating as a fully unmanned system, it is possible to reduce the labor cost burden of hiring a 24-hour management clerk. Fourth, by making payment settlement through a blockchain-based secure currency, financial costs such as fees for small-scale small-scale product sales can be reduced with cash. Finally, by creating these platforms with an open API (application association) Structure franchise operators and goods suppliers, including a number of projects to take advantage of this by utilizing 3