IOT News

The high-speed, low-latency, and massive-connectivity capabilities of 5G networks not only provide robust network support for the development of the Industrial Internet of Things (IIoT), but also drive the emergence of new application paradigms—such as remote equipment control, collaborative equipment operations, and flexible manufacturing—offering fresh pathways for industrial upgrading and business transformation.

To address this opportunity, WideIOT provides a 5G + IIoT solution tailored for smart factories. This solution enables data collection from a wide range of equipment, including PLCs, instruments, industrial robots, CNC machine tools, sensors, and more. It supports connectivity via 5G, 4G, Wi-Fi, and Ethernet, establishing a stable and reliable data communication network that underpins production monitoring, fault alerting, operations and maintenance management, and data analytics.

1. Remote Equipment Control

Leveraging 5G, automatic control, and edge computing technologies, WideIOT 5G gateways are deployed on automation equipment and cameras on-site to enable real-time data acquisition and communication. Through mobile phones or computers, managers can remotely access live video feeds from the production floor and view real-time operating parameters of various equipment. They can also perform remote operations such as starting, stopping, and switching operating modes.

2. On-Site Production Monitoring

Within industrial parks, factory premises, and workshop floors, 5G gateways are deployed to connect various equipment—including PLCs, sensors, cameras, CNC machine tools, and industrial robots—to the 5G network. Environmental parameters, equipment operating data, and real-time video streams are collected and transmitted back to the on-site production monitoring platform. This enables continuous oversight and early warning of production activities, with alerts delivered via WeChat, SMS, or email.

3. Collaborative Equipment Manufacturing

Through 5G gateways, real-time data on equipment movement trajectories, process completion status, and other relevant metrics are collected from the production floor. This data is used to optimize collaborative workflows between equipment. Based on the optimization results, scheduling commands and other directives are issued to industrial systems and devices such as Manufacturing Execution Systems (MES) and Programmable Logic Controllers (PLCs). This enables coordinated task distribution among multiple pieces of equipment, improving overall equipment utilization and operational efficiency.