DYWL-WCG Internet of Things Training Platform

The IoT tr*ning platform integrates wireless ZigBee, Bluetooth, Wifi, RFID and other communication technologies, uses a powerful Cortex-A9 (with Android4.4.2 operating system) embedded processor as the intelligent terminal, and cooperates with a variety of sensor modules. It provides rich experimental routines to facilitate the study of IoT wireless networks, sensor networks, RFID technology, embedded systems, and other IoT courses.

The tr*ning platform consists of 7 parts, namely, security/access control tr*ning area, home power tr*ning area, intelligent transportation tr*ning area, intelligent shopping mall cont*ner tr*ning area, intelligent agriculture tr*ning area, embedded gateway tr*ning area, and comprehensive expansion tr*ning area. It uses Cortex-A9, Cortex M3, 8051 and other controllers, equipped with high-precision temperature and humidity, light, combustible gas, r*ndrops, human body sensing, vibration, high-frequency reader, ultra-high-frequency reader and other sensor modules, and establishes connections with communication nodes through standard interfaces to achieve rapid collection and communication of sensor data, deepen students' understanding of the systems of various industries (agriculture, home, cont*ner, transportation) of the Internet of Things, familiarize themselves with the latest technologies in the development of the Internet of Things, and meet the support of basic teaching courses in the Internet of Things laboratory .

The tr*ning platform adopts a metal structure, and the industrial-grade sensor actuators are directly oriented to practical applications, focusing on the cultivation of practical hands-on skills.

Functional layout

The tr*ning platform consists of 7 parts, namely security/access control tr*ning area, home power tr*ning area, intelligent transportation tr*ning area, smart shopping mall cont*ner tr*ning area, smart agriculture tr*ning area, embedded gateway tr*ning area, and comprehensive expansion tr*ning area; it deepens students' understanding of various industries such as smart home, smart agriculture, warehouse management, intelligent transportation, etc., familiarizes them with the latest technologies of the Internet of Things, and meets the basic teaching and tr*ning course support of the Internet of Things laboratory.

Transfer Protocol

Supports multiple wireless transmission methods (Zigbee, 433, Bluetooth 4.0, WiFi and IPV6), Cortex-M3 data acquisition /control points, flexible and convenient to match.

Courses

It includes wireless sensor network, ZigBee wireless communication, Wi-Fi wireless network, IPv6 wireless network, Bluetooth wireless communication, 433 wireless communication, RFID radio frequency identification, Android mobile development, embedded development, sensor technology, and execution control technology. It provides a good experimental tr*ning platform for students to learn knowledge points of the Internet of Things.

Extension and expansion

CAN, 485, 4-20mA, 0-10V, serial port, relay, power supply and other interfaces are reserved. Different modules can be selected to teach different knowledge points, which is also convenient for students to freely expand according to actual needs. The platform has rich hands-on operation performance. Each module has an interface connected to the panel through the terminal. Students can manually connect each module to design the control circuit.

Specifications

This tr*ning table adopts metal structure, size (length * width * height): about 136cm * 30cm * 70cm, weight: <50Kg, appearance: the box body is a right-angled trapezoid, input power: AC 220V 50Hz. It is also equipped with a wooden table body of the experimental table , with a computer m*nframe cabinet and a display station, size (length * width * height): about 200cm * 60cm * 75cm.

Det*led module introduction

Industrial-grade sensors and actuators are directly oriented to practical applications, focusing on the cultivation of practical skills. Through this teaching and tr*ning system, students can deepen their understanding of the systems of various industries (agriculture, home, cont*ner, transportation) of the Internet of Things, and become familiar with the latest technologies in the development of Internet of Things technology. They can deeply study the hardware composition of embedded ARM technology, the transplantation of operating systems and graphical user interfaces, application development and other technologies; they can also study and understand wireless sensor technologies such as ZIGBEE technology, Bluetooth 4.0 technology, and WIFI technology; they can also study various RFID technologies and sensor technologies.

1. Embedded Home Power Supply Tr*ning Area

Module introduction: The home power supply tr*ning area has built a relatively complete smart home power supply control tr*ning environment, using commercial-grade modules such as *r switches, smart meters, dimming lamps, dimming panels, switches and sockets, supplemented by wireless communication technologies such as ZigBee, WiFi, and Bluetooth, to transform them into intelligent ones, showing the technology of the smart node at the core of the smart home, which can be used for wireless automatic control of home appliances, as well as for home communications, home security, and the establishment of smart home control systems.

2. Embedded security/access control tr*ning area

Module introduction: The embedded IoT smart home security/access control tr*ning area realizes home security, alarm, remote monitoring and other functions.

Through the ZigBee coordinator and sensor control nodes to form a wireless network, gas and smoke monitoring, intrusion detection, RFID/fingerprint access control and other functions are realized, and the collected data is transmitted to the embedded gateway to control the simulated home appliances.

3. Embedded Intelligent Transportation Tr*ning Area

Module Introduction: This tr*ning area simulates the technology and scenarios of intelligent transportation in real applications. 12 LEDs are used to simulate the traffic lights at the intersection and 4 two-digit digital tubes are used to display the current phase countdown in the southeast, northwest and northeast directions, realizing the informatization of on-site traffic management. The scene demonstration of the ETC toll gate is completed through the RFID radio frequency identification system. The system automatically senses the on-board RFID electronic tag, completes the vehicle information identification, and automatically controls the lifting of the gate to release the vehicle.

4. Module name: Embedded smart agriculture tr*ning area

Module introduction: Real-time remote acquisition of *r temperature and humidity, soil moisture temperature, carbon dioxide concentration, light intensity, r*n, etc. inside the greenhouse. Through model analysis, it can automatically control greenhouse fans, heating and lighting equipment; at the same time, the system can also push real-time monitoring information and alarm information to managers through mobile phones, PDAs, computers and other information terminals, realizing information-based and intelligent remote management of greenhouses.

5. Module name: Embedded shopping mall cont*ner tr*ning area

Module introduction: This tr*ning area simulates the technology and workflow of shopping mall cont*ners in real applications, and uses RFID equipment to realize the informatization of on-site business management. Each cargo position has an RFID read-write antenna that can read det*led information about the goods. All goods are managed through RFID technology, and with the intelligent cont*ner management software, the informatization of warehousing, outbound, inventory, and transfer can be realized. The shopping mall cont*ner tr*ning area cont*ns RFID smart shelves, which are composed of M3 intelligent nodes, shelf multi-channel high-frequency readers and writers, and several flat antennas. The flat antennas embedded in the shelves are placed horizontally, and a set of digital tube display modules are placed on each shelf to display the price of the current goods on that shelf. Put an RFID tag on the bottom of the simulated product and place it flat on the antenna of the shelf to read the product information.

6. Module name: Embedded Gateway Tr*ning Area

Module introduction: The embedded gateway tr*ning area integrates intelligent gateway, wireless router, ZigBee coordinator, WiFi coordinator, Bluetooth coordinator, IPv6 coordinator and other modules to complete environmental data collection and control experiments, networking experiments. The intelligent gateway uses the m*nstream Samsung Cortex-A9 processor. The gateway brings out all the application interfaces of the processor, and provides supporting experimental tutorials to support in-depth embedded learning and development of the gateway. The gateway can be equipped with Zigbee, 433, Bluetooth, WiFi and other modules, and uses a unified 24pin interface. It is a platform for the convergence and processing of all information. The embedded gateway provides management software for smart greenhouses, smart homes, smart transportation, smart storage shelves, etc.

7. Module name: Comprehensive extension tr*ning area

Module introduction: The comprehensive expansion tr*ning area has reserved interfaces such as CAN, 485, 4-20mA, 0-10V, serial port, relay, power supply, etc., supports external sensors, and is convenient for users to freely expand functions according to actual needs. In addition, the M3 intelligent node module is configured with wireless radio and voice recognition functions by default, which can be switched by buttons or by Android applications using Zigbee/Bluetooth/WiFi to achieve radio playback and various scene mode linkage.

8. Software Technology

This tr*ning platform management software is application-oriented, covering four typical industry applications: smart home, smart agriculture, smart cont*ner, and smart transportation. Through the simulation of IoT industry applications, students' perception and understanding of the IoT are enhanced, so that students can select some of them to develop their interests or innovative experiments after actual hands-on operation and understanding of related principles.

Android application development: Zigbee\WIFI\Bluetooth\IPv6 wireless sensor network module, data collection of sensor nodes. Including providing data list view, curve view, control of controller nodes under Android system. And the associated application of sensors and controllers.

Access via mobile phones and other terminals: Android backend supports C/S and B/S architectures, and provides server-side and mobile client applications, mobile demonstration programs, viewing and control functions.

The tr*ning platform is equipped with a 7-inch TFT LCD color touch screen, which supports Zigbee, plc BUS, 485 bus, 433/315, GSM/CDMA and other communication protocols, and supports multi-channel remote access and phone/SMS alarm. The touch screen can be used to control the lighting, security, curt*ns, electrical appliances, and scenes in the home. With the remote client software and PDA remote control, local remote control and remote control can also be achieved.

Some practical tr*ning project resources

Experiment 1 CC2530 GPIO Experiment

Experiment 2 CC2530 UART serial port experiment

Experiment 3 CC2530 timer experiment

Experiment 4 CC2530 AD conversion experiment

Experiment 5 CC2530 external interrupt experiment

Experiment 6 CC2530 sleep timer wake-up experiment

Experiment 7 TI Z-Stack Protocol Stack Code Introduction

Experiment 8 Z-Stack simple wireless transceiver experiment

Experiment 9 Z-Stack point-to-point communication experiment

Experiment 10 Z-Stack tree network experiment

Experiment 11 Z-Stack Broadcast Communication Experiment

Experiment 12 Z-Stack MESH network experiment

Experiment 13 Z-Stack Star Network Experiment

Experiment 14 STM32 GPIO Experiment

Experiment 15 STM32 timer experiment

Experiment 17 STM32 RS485 communication experiment

Experiment 17 STM32 external interrupt experiment

Experiment 18 STM32 FLASH access experiment

Experiment 19 STM32 UART serial port experiment

Experiment 20 STM32 SDIO experiment

Experiment 21 STM32 AD conversion experiment

Experiment 22 STM32 LCD screen driver experiment

Experiment 23 STM32 CAN communication experiment

Experiment 24 ISO14443 tag search operation experiment

Experiment 25 ISO14443 tag password download experiment

Experiment 26 ISO14443 tag password modification experiment

Experiment 27 ISO14443 tag data reading and writing experiment

Experiment 28: ISO14443 TYPEB ID card number reading experiment

Experiment 29 Diffuse reflection photoelectric switch sensor experiment

Experiment 30 Fan control experiment

Experiment 31 Human body sensing sensor experiment

Experiment 32 12V adjustable lamp control experiment

Experiment 33 Warning light experiment

Experiment 34 Smoke sensor experiment

Experiment 35 Fire Alarm Sensor Experiment

Experiment 36 4-20mA interface experiment

Experiment 37 485 access control card reader experiment

Experiment 38 0-10V interface experiment

Experiment 39 Electric lock experiment

Experiment 40 Relay control experiment

Experiment 41 Fingerprint recognition module experiment

Experiment 42 Smart Meter Experiment

Experiment 43 Light sensor experiment

Experiment 44 Intelligent dimming experiment

Experiment 45: Vibration sensor experiment

Experiment 46 Smart socket experiment

Experiment 47 Temperature and humidity sensor experiment

Experiment 48 R*ndrop sensor experiment

Experiment 49 Android system compilation environment construction experiment

Experiment 50: Building an Android system application development environment experiment

Experiment 51: Android system development environment construction experiment

Experiment 52 Compile Android boot program UBOOT experiment

Experiment 53 ANDROID kernel program linux experiment

Experiment 54 Compiling Android Experiment

Experiment 55 SD card burning Bootloader experiment

Experiment 56 Menu Experiment

Experiment 57 SD card burning Android system experiment

Experiment 58: ACTIVITY & INTENT

Experiment 59 ANDROID HelloWorld application experiment

Experiment 60: ADB tool usage experiment

Experiment 61 WIDGET basic control experiment

Experiment 62 LCD device driver experiment

Experiment 63 Dialog Box Experiment

Experiment 64 Touch screen device driver experiment

Experiment 65 USB HOST device driver experiment

Experiment 66 Key device driver experiment

Experiment 67 USB OTG device driver experiment

Experiment 68 Real-time clock device driver experiment

Experiment 69 SDIO WIFI device driver experiment

Experiment 70 Audio device driver experiment

Experiment 71 Ethernet device driver experiment

Experiment 72 SD/MMC card device driver experiment

Experiment 73 Camera device driver experiment

Experiment 74 Key device driver experiment

Experiment 75 LCD device driver experiment

Experiment 76: Sensor Alarm Design Experiment for IoT Applications

Experiment 77: Adjustable lighting design experiment for IoT applications

Experiment 78 IoT Smart Agriculture Application Development

Experiment 79 IoT Smart Home Security Integrated System Experiment

Experiment 80 IoT smart home environment monitoring integrated system experiment

Experiment 81 IoT Intelligent Transportation Application Development

Experiment 82 IoT RFID Cont*ner Application Development