IOT News

With the rapid development of the food, pharmaceutical, electronics, and precision manufacturing industries, vacuum packaging machines have become key equipment for ensuring product shelf life and cleanliness. Modern vacuum packaging machines are typically controlled by PLCs, integrating processes such as vacuum evacuation, heat sealing, nitrogen flushing, cooling, and sterilization. However, under the trends of Industry 4.0 and smart manufacturing, equipment manufacturers and users are no longer satisfied with standalone automated operation. There is a growing need for remote monitoring, fault diagnosis, and full lifecycle management of equipment.

To address this, WideIOT provides an IoT solution based on a PLC smart gateway. By connecting to the PLC, the gateway can collect real-time data such as equipment operating status, runtime, process parameters, and fault signals. This data is then transmitted to MES or ERP systems via 5G/4G/WiFi/Ethernet, enabling remote monitoring, alerting, management, control, and data analysis. This helps improve operational efficiency and management levels.

Key Features

1. Multi-Protocol Data Collection

The gateway comes with an built-in industrial protocol library and can connect to PLCs from different brands. It collects real-time data such as vacuum level, sealing temperature, and packaging count, with flexible data collection intervals.

2. Reliable Transmission and Data Resume

The gateway supports multiple network connections. In case of network interruption, data can be cached locally and then resumed once the connection is restored, preventing data loss.

3. Visualized Data Monitoring

Data is displayed in charts on the management platform, allowing users to remotely view real-time equipment data and monitor operating statuses through visual indicators.

4. Abnormal Alerts and Notifications

Alert thresholds can be preset. When data exceeds the range or an equipment anomaly occurs, the system triggers alerts and notifies managers through multiple channels, with related data saved for easy traceability.

5. Historical Data Management

Data is stored in a database and can be queried by time. Reports can be generated to analyze patterns, understand equipment behavior, and schedule maintenance in advance.