IOT-110 Edge IoT Teaching Platform
IOT-110 is a platform that integrates the training of
edge computing, Al and IoT Its system consists of sensor modules, edge
computing modules, and Al computing accelerators. The course provided is
structured coherently and clearly, and the concepts of sensors, networks, and
applications can be introduced progressively and thoroughly. With this system,
users shall be able to deploy various smart applications of IOT and edge
computing. In addition, users can also choose additional Zig Bee, NB-IoT, and LoRa modules when making their purchase, further expanding the capabilities of the loT training platform. This provides even more possibilities for enhancing your smart applications.
Each sensor modules is embedded in a separate aluminum
housing with a built-in hook and powered by a rechargeable lithium battery, so
the sensor modules can be deployed in many different locations as well as on
the training stand. The name of each sensor is printed on the housing. (Users
can also choose to purchase waterproof box for outdoor sensing applications.)
• Perception Layer
1. Microcontroller Development
(1) GPIO Control LED Blink Experiment
(2) UART Communication Experiment
(3) ADC Converter Experiment
(4) External Interrupt Experiment
(5) I2C Communication Experiment
2. Sensing Layer
(1) Gas Measurement Experiment
(2) Hall(Magnetic) Detection Experiment
(3) Photoelectric Switch Experiment
(4) Ultrasonic Distance Experiment
(5) Barometric Pressure Measurement Experiment
(6) Dust Measurement Experiment
(7) Buzzer Control Experiment
(8) IR Experiment
(9) Noise Measurement Experiment
(10) Illuminance Measurement Experiment
(11) Motion Sensing Experiment
(12) 9 DoF Measurement Experiment
(13) Relay Control Experiment
(14) Ultraviolet Measurement Experiment
(15) Temperature and Humidity Measurement Experiment
(16) Carbon Dioxide Measurement Experiment
• Network Layer
3. Wi-Fi Communication
(1) Wi-Fi AT Command Experiment
(2) Wi-Fi Web Server Experiment
(3) Wi-Fi Request Experiment
4. MQTT Communication
(1) MQTT Broker Experiment
(2) MQTT Protocol Introduction Experiment
(3) Sensor Data Transmission Experiment
(4) Actuator Control Experiment
(5) MQTT Programming Experiment
• Application Layer
5. Web Engineering
(1) IoT Web Server Experiment
(2) IoT SQL Experiment
6. Visual Programming Language
(1) VPL Application Experiment
(2) IoT Cloud Experiment
(3) Smart Device Application Experiment
Experiment List of Edge Computing
1. Edge Computing With IoT
(1) Face Recognition Experiment
(2) Head Pose Experiment
(3) Facial landmarks Experiment
2. Edge Computing With AIoT
(1) Emotions Recognition Experiment
(2) Deep Learning Experiment
(3) Image Classification and Deep Learning
Application Experiment
(4)
Smart Home Experiment
Experiment List of Zigbee
1. Point-to-Point Data Transmission Experiment
2. Point-to-Multipoint Data Transmission
Experiment
3. MAX30102 Heart Rate and Blood Oxygen
Sensor Experiment
4. Touch Sensor Experiment
5. ZigBee to MQTT Transmission Experiment
6. Node-RED Visual Programming Experiment
Experiment List of NB-IoT
1. Mobile Network Base Station
Communication Experiment
2. NB-IoT to MQTT Transmission Experiment
3. Ultraviolet Sensor Experiment
4. NB-IoT Visual Programming Application
Experiment
Experiment List of LoRa
1. Long-Distance Data Transmission
Experiment
(1) Point-to-Point Long-Distance Data
Transmission Experiment
2. IOT-14302 Water Temperature Sensor
(1) IOT-14302 Water Temperature Sensor
Experiment
3. IOT-14303 pH Sensor
(1) IOT-14303 pH Sensor Experiment
4. LoRa Sensor Data Transmission to MQTT
(1) LoRa and MQTT Data Transmission
Experiment
(2) IOT-14302 Data Transmission Experiment
(3) IOT-14303 Data Transmission Experiment
5. Visual Programming Language
(1) LoRa Sensor Data Transmission to
Node-RED Experiment
1. An open-source integrated development environment : users
can start programming using an easy-to-use language.
2. Graphical programming language development tools : users
can generate writing programs by dragging and dropping (ideal for beginner
programmer)
3. A flexible structure : convenient to set up and deploy
required experimental environments easily.
4. All data collected from sensors are stored in
database. Data can also be uploaded to cloud servers, such as ThingSpeak,
Amazon Web Services, and Microsoft Azure.
5. It is compatible with the MQTT communication
protocol, and data is obtained through publication and subscription.
