Realization of Network Interconnection and Data Acquisition for Intelligent Equipment PLC

The regular inspection tours and troubleshooting of equipment are crucial for the continuous 7*24-hour production of production lines.

 Traditional equipment management suffers from numerous drawbacks, such as poor real-time monitoring, human operational errors, and slow troubleshooting, which pose many hidden risks to a company's production operations. With the gradual maturation of technologies like 5G, Industrial Internet of Things (IIoT), and data analysis, intelligent monitoring and inspection tours of equipment can be achieved, providing reliable guarantees for enhancing the continuous production efficiency of factories.

Currently, intelligent equipment manufacturers, smart factories, and water service providers all require regular inspection tours of their equipment to promptly detect and maintain control over equipment failures.

 In response, WideIOT offers a network interconnection and data acquisition solution based on industrial intelligent gateways. By enabling data acquisition and real-time communication from control systems such as PLCs, DCSs, and SCADA, it provides factories with reliable means to monitor equipment status in real-time, quickly alert on equipment failures, and promptly maintain and control them, thereby maintaining a safe and stable production order.

Managers can stay informed about equipment location, quantity, type, working status, real-time parameters, alarm events, and maintenance work orders at any time through mobile and computer terminals, ensuring timely management and control to guarantee safe production.

 Alarm information about equipment can be quickly accessed through platforms, WeChat, SMS, email, and other channels, enabling the use of intelligent means such as remote control and remote maintenance to reduce equipment downtime losses and achieve intelligent monitoring, operation, and maintenance.

Realized Functions:

1. Query and manage equipment information, including maintenance, upkeep, inspection records, and equipment status.
2. Enable real-time recording of work logs through images, text, videos, and other means to document work information.
3. Form an inspection and maintenance knowledge base, utilizing historical work orders to provide references and training assistance for newcomers.
4. Leverage big data analysis capabilities to achieve predictive maintenance and operation and maintenance upgrades, enhancing decision-making intelligence.
5. Improve operation and maintenance efficiency and reduce costs through remote programming, debugging, and program uploading and downloading operations.