Data Acquisition Solution for Automated Bread Packaging Production Line

A certain enterprise is engaged in the production and sales of various bread and pastry products, with a continuously expanding market scale. To meet the challenges of increasing production capacity, it has achieved automation in the packaging process, covering the entire sequence from carton opening, bagging, boxing, weighing, to carton sealing. Now, there is a requirement to collect data from the packaging production line equipment and connect it to the local duty room for visual display, aiming to enhance management level and work efficiency.

The carton opening machines, bagging machines, weighing machines, carton sealing machines, and other equipment on site have been integrated with PLCs for automated control. Therefore, WideIOT can install industrial intelligent gateways to connect to the PLC controllers, enabling real-time collection of data such as operational status, packaging quantity, weighing results, and uptime rates. These gateways also facilitate communication between Ethernet and the local monitoring system, thereby achieving functions like remote equipment monitoring, fault alerts, remote control, and data management, and forming a digital work management mechanism.

Functional Features

1. Real-time and Precise Data Acquisition

The gateway can acquire key data from carton opening machines, bagging machines, weighing machines, carton sealing machines, and other equipment with high precision and in real-time. For example, it can collect data on the carton opening time and success rate of the carton opening machine, the specifications, speed, and abnormal occurrence count of the bagging machine, the product weight and deviation of the weighing machine, and the firmness and sealing time of the carton sealing machine. This provides a solid foundation for production management and quality monitoring.

2. Efficient and Stable Data Transmission

The gateway supports multiple communication protocols, enabling seamless integration with PLC controllers of different brands and models, ensuring stable and compatible data acquisition. It has strong network adaptability, capable of quickly and stably transmitting data to the local monitoring system via both wired and wireless networks. In case of network failures, it features a caching function that automatically uploads the data once the network is restored, ensuring data integrity and continuity.

3. Intuitive Visual Display

After integrating and analyzing the data, the local monitoring system presents it through an intuitive interface. The large screen allows real-time viewing of the overall status of the production line, including equipment parameters, production progress, and fault warnings. Dynamic charts display trends in packaging quantities, and color-coding indicates equipment status, facilitating easy identification of issues. It also supports multi-dimensional data querying and statistical analysis to assist in production decision-making.

4. Intelligent Fault Alerts

Based on the collected data, the system can use advanced algorithm models to predict and determine equipment faults in advance. When parameters are abnormal, it notifies management personnel through SMS, email, or audible and visual alarms. The alert information includes the fault location, type, cause analysis, and recommended handling measures, enabling quick response and minimizing losses.

5. Remote Control and Maintenance

Management personnel can control and operate the equipment locally or remotely, such as adjusting operational parameters. Technicians can remotely connect to the equipment for fault diagnosis, program upgrades, parameter calibration, and other maintenance tasks, improving efficiency and reducing costs.

6. Data Management and Analysis

Massive production data is stored in a local database, where it can be categorized, organized, and stored for the long term. The system provides functions for querying, exporting, and backing up the data, facilitating traceability. By utilizing analysis tools to mine the data, potential issues and optimization opportunities can be identified, such as rational arrangement of production plans and improvement of product quality stability.