IOT News

A shrink-wrap packaging machine is a device that uses heat-shrinkable film to wrap products. Its operating principle involves heating the film to a softened state, tightly wrapping it around the product, and then rapidly cooling it so that the film shrinks and solidifies—forming a snug, transparent packaging layer that offers dustproof, moisture-proof, impact-resistant, and aesthetically appealing properties.

To achieve optimal performance, shrink-wrap packaging machines require precise adjustment of multiple parameters. Monitoring these critical parameters in real time and receiving early warnings when abnormalities occur are essential for maintaining production efficiency and product quality. To address this need, WideIOT offers an IoT solution based on industrial smart gateways that enables PLC data acquisition and remote monitoring, providing full visibility and control over the packaging process.


Key process parameters—such as material feed speed, temperature, and airflow rate—are collected via industrial smart gateways and uploaded to cloud platforms or local host systems via 5G/4G/Wi-Fi/Ethernet. When anomalies are detected, automatic alerts are sent through WeChat, SMS, or email, enabling timely remote control, remote maintenance, and data-driven optimization to ensure stable and uninterrupted production.

After receiving fault notifications and maintenance work orders, engineers can remotely check equipment status, process parameters, and alarm logs from anywhere, and remotely diagnose issues to determine whether an on-site visit is actually necessary. If the issue lies in the PLC program, the WideIOT Remote Maintenance Tunnel allows engineers to perform remote programming, debugging, and program upload/download—eliminating travel costs and fatigue while improving maintenance efficiency and service quality.

On the platform, enterprises can analyze equipment performance data, fault frequency, and maintenance work orders, combining these insights with hands-on experience to drive continuous improvement. This enables optimal production efficiency and cost control, while minimizing the risk of unexpected downtime and associated financial losses.