DYWL-WCG Internet of Things Application Comprehensive Experimental Device
Release time：2024-07-02 20:30viewed：times
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 an intelligent terminal, and cooperates with a variety of sensor modules to provide a wealth of experimental routines, which is convenient for learning 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, smart 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 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 IoT, familiarize themselves with the latest technologies in the development of the IoT, and meet the support of basic teaching courses in the IoT laboratory
. The tr*ning platform adopts metal structure, and the industrial-grade sensor actuator is directly oriented to practical applications, focusing on the cultivation of practical hands-on ability.
1. 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, intelligent shopping mall cont*ner tr*ning area, intelligent agriculture tr*ning area, embedded gateway tr*ning area, and comprehensive expansion tr*ning area; deepen students' understanding of various industries such as smart home, smart agriculture, warehouse management, and intelligent transportation, familiarize themselves with the latest technologies of the Internet of Things, and meet the basic teaching and tr*ning course support of the Internet of Things laboratory.
Transmission protocol
Supports multiple wireless transmission methods (Zigbee, 433, Bluetooth 4.0, WiFi and IPV6), Cortex-M3 data acquisition /control points, and is flexible and convenient to match.
Involved courses
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. Provide 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 are selected to teach different knowledge points, which is also convenient for students to expand freely according to actual needs; the platform has rich hands-on operation performance, and each module has an interface connected to the panel through the terminal. Students can manually connect each module to design the control circuit.
2. Specifications
This tr*ning platform adopts a metal structure, size (length * width * height): about 136cm*30cm*70cm, weight: <50Kg, appearance: the box body is a right-angle trapezoid, input power: AC 220V 50Hz. In addition, the wooden table of the experimental table is equipped with a computer host cabinet and a display station, with a size (length * width * height): about 200cm*60cm*75cm.
3. Det*led module introduction
Industrial-grade sensors and actuators are directly oriented to practical applications, focusing on the cultivation of practical hands-on skills. Through this teaching and tr*ning system, students can deepen their understanding of the systems of various industries in the Internet of Things (agriculture, home, cont*ner, transportation), and become familiar with the latest technologies in the development of Internet of Things technology. You can deeply study the hardware composition of embedded ARM technology, the transplantation of operating systems and graphical user interfaces, application development and other technologies; you can also study and understand wireless sensing technologies such as ZIGBEE technology, Bluetooth 4.0 technology, and WIFI technology; you can also study various RFID technologies and sensing technologies.
1. Embedded Home Power Tr*ning Area
Module Introduction: The Home Power Tr*ning Area has built a relatively complete smart home power control tr*ning environment, using commercial-grade modules such as *r switches, smart meters, dimming lights, dimming panels, switches and sockets, supplemented by wireless communication technologies such as ZigBee, WiFi, and Bluetooth, to transform it into an intelligent one, showing the technology of the smart node at the core of the smart home, which can be used for wireless automatic control of home devices, as well as for home communications, home security prevention, and the establishment of smart home control systems.
2. Embedded Security/Access Control Tr*ning Area
Module Introduction: The embedded Internet of Things smart home security/access control tr*ning area realizes functions such as home security and alarm, and remote monitoring.
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 to realize 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 gate to lift the bar to release.
4. Module name: Embedded smart agriculture tr*ning area
Module introduction: Real-time remote acquisition of greenhouse *r temperature and humidity, soil moisture temperature, carbon dioxide concentration, light intensity, r*n, etc. 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 greenhouse informationization and intelligent remote management.
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 of 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 includes 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 current price of the goods on that shelf. Attach an RFID tag to 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 gateways, wireless routers, ZigBee coordinators, WiFi coordinators, Bluetooth coordinators, IPv6 coordinators and other modules to complete environmental data collection and control experiments and networking experiments. The smart 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 such as smart greenhouses, smart homes, smart transportation, and smart storage shelves.
7. Module name: Comprehensive expansion tr*ning area
Module introduction: The comprehensive expansion tr*ning area reserves CAN, 485, 4-20mA, 0-10V, serial port, relay, power supply and other interfaces, supports external sensors, and is convenient for users to freely expand functions according to actual needs. In addition, the M3 smart 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 the application of the Internet of Things industry, students' perception and understanding of the Internet of Things 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 the relevant principles.
Android application development: Zigbee\WIFI\Bluetooth\IPv6 wireless sensor network module, data collection of sensor nodes. Including providing data list view, curve view, and control of controller nodes under the Android system. And the associated application of sensors and controllers.
Mobile phone and other terminal access: Android background supports C/S and B/S architecture, provides server-side and mobile client applications, mobile phone demonstration programs, viewing and control functions. The
tr*ning platform is equipped with a 7-inch TFT LCD color touch screen, supports Zigbee, plc BUS, 485 bus, 433/315, GSM/CDMA and other communication protocols, and supports multi-channel remote access and phone/SMS alarms. The touch screen can be used to control home lighting, security, curt*ns, electrical appliances, and scenes. With the remote client software and PDA remote control, local remote control and remote control can also be realized.
9. Virtual simulation software for mechanical tr*ning safety education: This software is developed based on unity3d. The software adopts the form of three-dimensional roaming. The movement can be controlled by the keyboard and the direction of the lens can be controlled by the mouse. There are mechanical safety distance experiments, mechanical safety protection device experiments, and basic assessments of mechanical safety protection design. During the experiment, the three-dimensional roaming screen uses arrows and footprints to prompt movement to the experimental position. The circle around the mechanical object shows the working radius. The experimental process is accompanied by a dialog box reminder of the three-dimensional robot.
A. The content of the mechanical safety distance experiment includes the safety distance experiment to prevent the upper and lower limbs from touching the dangerous area (divided into 2 types of fence heights and opening sizes). After choosing to enter, the GB23821-2009 "Safety Distance for Mechanical Safety to Prevent Upper and Lower Limbs from Touching Dangerous Areas" requirements pop up in front of the camera. Wrong demonstration: The experimental process is that after the human body enters the working radius of the mechanical object and is injured, the bloody screen and voice reminders are received. Mechanical injury, and then return to the original position and conduct the next experiment. The final step is the correct approach.
B. Mechanical safety protection device experiments are divided into safety interlock switches, safety light curt*ns, safety mats, safety laser scanners and other protection device experiments. Optional categories (safety input, safety control, safety output, other), manufacturers, product lists (safety interlock switches, safety light curt*ns, safety mats, safety laser scanners, safety controllers, safety relays, safety fences). The installation location has a blue flashing frame reminder. The experimental process is: select the safety fence and install it, select the safety interlock switch (or select the safety light curt*n, safety mat, safety laser scanner) and install it, select the safety controller and install it to the electrical control box, select the safety relay and install it to the electrical control box, and click the start button on the electrical control box. If you enter the dangerous area, the system will prompt an alarm sound, and the mechanical object will stop working. Select the reset button on the electrical control box to stop.
C. The basic assessment of mechanical safety protection design requires the completion of the installation of the mechanical safety system, the correct installation of safety guardr*ls, safety interlock switches, safety light curt*ns, safety mats, safety laser scanners, safety controllers, safety relays, 24V power supplies, signal lights and emergency stop buttons. The assessment is divided into ten assessment points. Some assessment points have 3 options, which are freely selected by students. After the final 10 assessment points are selected, submit for confirmation, and the system automatically calculates the total score and the score of each assessment point.
D. The software must be on the same platform as a whole and must not be displayed as a separate resource.
E. At the same time, the VR installation package of this software is provided to customers to facilitate users to expand into VR experiments. VR equipment and software installation and debugging do not need to be provided.
4. Some practical 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 card search operation experiment
Experiment 25 ISO14443 tag password download experiment
Experiment 26 ISO14443 tag password modification experiment
Experiment 27 ISO14443 tag data read and write experiment
Experiment 28 ISO14443 TYPEB read ID card number experiment
Experiment 29 Diffuse reflection photoelectric switch sensor
experiment Experiment 30 Fan control experiment
Experiment 31 Human body induction sensor
experiment Experiment 32 12V adjustable light control experiment
Experiment 33 Alarm 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 Smart 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 Build 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 Compile ANDROID experiment
Experiment 55 SD card burn Bootloader experiment
Experiment 56 Menu (MENU) experiment Experiment
57 SD card burn Android system experiment
Experiment 58 ACTIVITY&INTENT experiment
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 (DIALOG) experiment
Experiment 64 Touch screen device driver experiment
Experiment 65 USB HOST device driver experiment
Experiment 66 Button 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 Button device driver experiment
Experiment 75 LCD device driver experiment
Experiment 76 Sensor alarm design experiment for IoT application
Experiment 77 Adjustable lighting design experiment for IoT application
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 smart transportation application development
Experiment 82 IoT RFID cont*ner application development
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