The DLWD-IOT101 Industrial Internet of Things Basic Training Kit is a cutting-edge educational platform designed to provide hands-on training in IIoT principles, architecture, communication technologies, and real-time data integration. Tailored for vocational colleges, technical universities, industrial training centers, and smart manufacturing labs, this system helps learners build a practical foundation in Industry 4.0 technologies and smart factory concepts.

Overview

This training system introduces learners to the core technologies of the Industrial Internet of Things, including sensor integration, edge computing, network communication, data acquisition, cloud services, and industrial automation protocols. It simulates realistic industrial environments and workflows, offering hands-on experience with the same tools and platforms used in modern smart factories.

 Features

Comprehensive IIoT Architecture Simulation
The DLWD-IOT101 includes key components of a typical IIoT system: sensors, actuators, PLCs, gateways, human-machine interface (HMI), and cloud connectivity modules. It allows learners to build and test complete IIoT solutions, from field-level data acquisition to cloud-based monitoring and control.

Multi-Protocol Communication Support
Supports industrial communication protocols such as Modbus TCP/IP, MQTT, OPC UA, and HTTP/REST API for seamless data exchange between edge devices, controllers, and cloud platforms. Learners can configure and troubleshoot real-world communication setups.

Cloud Integration and Remote Monitoring
The system enables connection to major cloud platforms like AWS IoT, Microsoft Azure IoT Hub, or private cloud servers. Learners can analyze live data, develop dashboards, set up alerts, and interact with remote systems through web and mobile interfaces.

Sensor and Actuator Modules
Equipped with a wide range of industrial-grade sensors (temperature, pressure, proximity, vibration) and actuators (relays, motors, indicators) to demonstrate real-time data acquisition and control applications.

Modular and Scalable Design
Modular layout allows easy customization and expansion. Instructors can add new nodes, devices, or cloud services as needed, making it future-proof and adaptable to evolving IIoT standards.

Fault Simulation and Diagnostics
Built-in fault generation modules provide realistic troubleshooting scenarios. Learners can practice diagnosing sensor failures, network interruptions, data mismatches, and system latency issues.

Software and Programming Tools
Supports popular platforms and tools such as Node-RED, Python, PLC ladder logic, SCADA systems, and cloud-based analytics dashboards. Ideal for building custom applications and teaching end-to-end data workflows.

Educational Outcomes

• Understanding the architecture of industrial IoT systems

• Learning about edge computing, cloud integration, and data analytics

• Developing practical skills in configuring sensors, controllers, and communication networks

• Programming and managing IIoT systems using real-world protocols

• Applying cybersecurity practices in IIoT environments

• Building and testing complete IIoT workflows from data acquisition to cloud visualization

Applications

• Industrial IoT technician training

• Smart manufacturing education

• Industry 4.0 workforce development programs

• Automation and control system curriculum

• Vocational and technical training institutes

• Engineering labs for electronics, robotics, and control systems

Technical Specifications (Sample)

• Power Supply: 24V DC

• Communication Protocols: Modbus TCP/IP, MQTT, OPC UA, HTTP/REST

• Cloud Connectivity: Compatible with AWS, Azure, ThingsBoard, or local servers

• Sensors Included: Temperature, humidity, proximity, light, gas, pressure

• Controller Interface: PLC with digital and analog I/O

• Programming Tools: Node-RED, Python, SCADA, ladder logic

• Build Material: Industrial-grade components with protective casing

• Dimensions: Compact, lab-friendly form factor

Why Choose the DLWD-IOT101 Training Kit?

The DLWD-IOT101 bridges the gap between theoretical knowledge and real-world industrial applications. It empowers students and professionals to understand, build, and maintain IIoT systems that meet today’s smart industry demands. With comprehensive coverage of the IIoT ecosystem, it is an ideal solution for institutions committed to producing a future-ready workforce in automation, digital manufacturing, and smart systems integration.