Traditional warehouses have the disadvantages of cumbersome recording methods, low efficiency, waste of human resources, and high management and maintenance costs. Intelligent warehousing training equipment changes traditional work methods and processes, achieves informatization and intelligence through IoT technology, attaches RFID tags to all items, and achieves higher precision management in product warehousing, inventory, outbound, personnel management, intelligent alarm, inventory control, and other aspects. The training system simulates the complete logistics process from procurement and storage management to outbound packaging and transportation monitoring, enabling students to understand the comprehensive application of IoT technology during training, and to innovate on this basis, cultivating students' innovative application abilities and fully meeting the current demand for cultivating IoT technology talents in universities.

Figure 1 Product actual picture

The IoT warehousing training system includes 6 major functions, fully covering the functions required for current intelligent warehousing, mainly including the following:

1) Warehouse personnel management

The main purpose is to implement time management, permission management, access management, etc. for warehouse personnel. Entry and exit require a dedicated person to unlock the warehouse. If the operation is not unlocked, the system will issue a security warning.

2) Goods order management

Mainly responsible for generating and confirming orders for goods. After order confirmation, RFID tags are remotely set up through PC desktop software to generate tags with information;

3) Goods storage management

Before entering the warehouse, label the corresponding goods with information and display the status of inbound and outbound on the warehouse screen with the warehouse indicator light on to remind. When the goods enter the warehouse, the reader reads the information of the goods and compares it with the order. If it matches the order, the corresponding screen of the warehouse will update the status and turn off the indicator light. During the comparison process, if the actual storage location of the goods does not match, the corresponding compartment light system will light up and give an alarm prompt.

4) Inventory management of goods

When inventory of goods is required, the multi-channel reader is used to scan the real-time information of the goods in the warehouse, compare it with the inventory, conduct inventory of the goods, and prompt the corresponding operators to confirm.

5) Goods outbound management

When goods need to be taken out of the warehouse, a delivery order is first generated, and the warehouse screen prompts the warehouse personnel to carry out the delivery operation. At the same time, the corresponding bin indicator light is on. During this process, if the goods are taken too little or too much, the corresponding bin indicator system will sound an alarm prompt.

6) Warehouse security management

To achieve real-time monitoring of the storage area, warehouse personnel need to have corresponding orders and outbound orders when conducting inbound and outbound management, or unlock permissions to operate the corresponding goods, otherwise the security system will issue security alarms.

The intelligent warehousing training system is based on Internet of Things technology. Relying on wireless networking technology within the training room, a stable and reliable ZigBee coverage environment is formed; Various access devices (sensors, control devices) can wirelessly connect to the IoT information platform, becoming part of the IoT experimental equipment and building the perception layer of the IoT. The system stores, analyzes, and applies data through a unified warehouse management center.

Figure 2 Equipment Structure Diagram

The intelligent warehousing training system includes ZigBee data acquisition control board, sensors and actuators, fingerprint recognition, high-frequency reader/writer, ZigBee display unit, ultra-high frequency reader/writer, 8-channel ultra-high frequency reader/writer, microcontroller gateway and other equipment.

Figure 3 Physical Identification Diagram

The high-frequency read-write module and fingerprint recognition enable personnel management and security management, while sensors and actuators collect information through a ZigBee data acquisition control board;

The microcontroller gateway realizes information collection and control of sensing and executing devices, and interacts with terminals to achieve information display, environment, security, and personnel management in warehousing;

Ultra high frequency reader/writer realizes multi card recognition of goods;

The 8-channel ultra-high frequency reader collects bin label information and interacts with the terminal to achieve intelligent recognition and management.

Project Background:

Logistics is an indispensable and important economic activity in today's society. With the advancement of technology and the development of the Internet of Things, the application of logistics is becoming more and more widespread. With the rapid development of e-commerce platforms in recent years, online shopping has become a new way of consumption for the public. The traffic volume of the 618 Online Shopping Festival and the Double Eleven Shopping Festival continues to break new highs. In order to adapt to the constantly increasing logistics volume and reduce labor costs, intelligent warehousing has emerged. Taking JD.com as an example, the world's first fully automated warehouse has been built, which truly realizes the intelligence and unmanned operation of the entire process and system from warehousing, storage, packaging, and sorting. The logistics system is gradually developing towards digitization, integration, networking, intelligence, and other directions.

Project 1: Intelligent Management Scenario for Cold Storage

Scenario introduction: Simulate the intelligent management of cold storage from the aspects of staff, goods orders, goods warehousing, goods inventory, goods outbound, and warehouse security. For example, in a cold storage mainly for storing seafood, if the temperature of seafood storage is below -18 degrees, the management personnel need to monitor the cold storage environment on the system and control the temperature within an appropriate range. When monitoring the quantity of goods, RFID tags need to be affixed to the goods entering the cold storage to register the incoming and outgoing goods. Set a lower limit for the product. When the system displays insufficient inventory, it means that the storage level of the product is below the lower limit, and replenishment should be carried out in a timely manner. When non admission personnel enter the cold storage, the human infrared sensor will provide information feedback to the system, and the alarm will sound. At the same time, the system is equipped with cameras that allow management personnel to conduct video surveillance of the cold storage.

Application technologies: QT programming, JAVA programming, C++programming, C programming, Android application development, embedded technology, IoT technology, RFID recognition technology, wireless networking technology, and ARM theory

Figure 4 Environment Monitoring Interface of Intelligent Warehouse Management System