International Journal of Scientific Research and Engineering Development

Industrial-robot laboratories in vocational colleges often have limited budgets, heterogeneous equipment, and teaching-oriented maintenance requirements. Commercial industrial-Internet platforms provide powerful monitoring functions, but their server requirements, customization costs, and deployment complexity are not well matched to small teaching laboratories. At the same time, fully custom monitoring software requires expertise in industrial communication, database design, service interfaces, and front-end development, which makes it difficult for teaching teams to maintain and reproduce in courses. To address these problems, this study designs a key-state acquisition and visualization system for an ABB IRB 120 industrial robot based on Node-RED. The system uses a three-level robot-PLC-Node-RED architecture: Modbus TCP reads controller registers at the field layer; an S7-1200 PLC performs data conversion, moving-average filtering, threshold judgment, and JSON encapsulation; and MQTT transports standardized messages to Node-RED. Node-RED then parses the payload, routes the state values, stores historical records in SQLite, and presents them through a lightweight dashboard. Following the robot controller manual and industrial-robot maintenance specifications, the study screens six categories of key states from twenty-three output parameters: J1-J3 motor temperatures, J1 motor current, controller internal temperature, operating mode, and gripper input/output status. Mathematical models are introduced for moving-average filtering, normalized deviation, weighted health indexing, and alarm persistence. Four diagrams illustrate the system architecture, low-code data pipeline, state-evaluation model, and dashboard layout. Four tables define parameter attributes, protocol characteristics, design targets and test methods, and teaching cases. All numerical performance indicators are identified explicitly as research and verification targets rather than as completed experimental measurements. The resulting design provides a low-cost, interpretable, and extensible monitoring scheme for small teaching laboratories and converts equipment-maintenance data into reusable teaching resources.

Lei Zhou, "Research on Key State Acquisition and Visualization for Industrial Robots Based on Node-RED" International Journal of Scientific Research and Engineering Development, V9(4): Page(1443-1452) July-August 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.