Web-Based Teleoperation System for Enhanced Precision and Efficiency in Food Industry Applications

摘要

This paper presents the development of a web application for teleoperation in the context of the food industry, leveraging a Flask python web framework for server, Socket.IO for real-time communication, MQTT for efficient data exchange, and Dropbox for secure data storage. The web application provides remote operation, real-time monitoring capabilities for a plant and data storing. The system consists of three main components: the main server, acting as a bridge between the web client and the plant's controller; the web client, offering a user-friendly interface and communicate with the main server; and the plant's controller, responsible for controlling the plant's operations and communication with main server. The system was successfully integrated with cutting of food items application featuring a Cartesian robot and a depth camera controlled by a Raspberry Pi 4. The web application enables users to initiate plant operations, visualize generated images, stream camera frames, and monitor the robot's position in real-time. Moreover, the system stores essential data such as point cloud arrays, 3D point cloud images, and object volumes in Dropbox. The system's advantages include Python implementation, web-based accessibility, seamless integration with the IoT ecosystem, adaptability to digital twin concepts, and efficient data storage. Overall, the teleoperating system significant benefits to the food industry, including enhanced precision, improved efficiency, seamless integration with the IoT ecosystem, and reliable data storage and analysis. By leveraging these advantages, food processing operations can achieve higher quality standards, increased productivity, and more informed decision-making, ultimately leading to improved customer satisfaction and business success.