Remote Monitoring and Real-Time Management of Intelligent Packaging Equipment

Industry Background:
With the rapid development of Industry 4.0 and the increasing demand for efficiency improvements in global manufacturing, the packaging machinery industry is undergoing a digital transformation challenge.

 Modern production lines require extremely high levels of continuous operation, and any equipment failure can lead to production halts, resulting in significant economic losses.

Pain Points Analysis:

1. High Maintenance Costs: Traditional manual inspections and fault repairs are time-consuming and labor-intensive.

2. Response Delays: Equipment issues often go undetected in a timely manner, leading to greater damage or production delays.

3. Lack of Real-Time Data Analysis: The absence of real-time data analysis hinders the implementation of predictive maintenance.

4. Scattered Resources: Maintenance teams frequently need to handle various types of alarm information, resulting in inefficient operations.

Solution:
To address these issues, WideIOT (previously known as Wutongbolian) offers a remote monitoring and maintenance management system for packaging equipment based on PLC data acquisition.

 Through data acquisition gateways, PLC device parameters are collected in real-time and uploaded to a remote monitoring platform. The system monitors abnormalities, automatically triggers alarms, performs data analysis and visualization, and establishes an efficient and reliable maintenance process, enabling intelligent monitoring and maintenance.

Functional Characteristics:

1. Real-Time Monitoring: Real-time collection and transmission of equipment status data to the remote monitoring platform, supporting 5G/4G and other communication methods.

2. Abnormality Warning: Automatically issues alarms when equipment abnormalities are detected, supporting notification methods such as WeChat, SMS, and email.

3. Remote Maintenance: Technicians can remotely program and debug PLCs, as well as upload and download programs over the network.

4. Integrated Decision-Making: Data analysis provides in-depth insights to optimize operational strategies and improve overall production efficiency (OEE).

5. Maintenance Records: Real-time recording and querying of maintenance records and related operational information, facilitating traceability and improvement of maintenance services.