IOT News

With the advancement of technology, intelligent manufacturing has become a global trend in the manufacturing industry.

 From intelligent robots to automated controllers, various intelligent equipment is being applied in production processes. This digital transformation not only enhances productivity but also improves product quality. However, it also poses higher requirements for systems such as abnormal response and operation and maintenance management.

For automated production workshops, WideIOT provides a solution for an abnormal alarm operation and maintenance management system based on industrial intelligent gateways.

 
By deploying industrial intelligent gateways on-site in the workshop and connecting them to control systems such as PLCs, DCSs, and SCADA, data collection and network transmission are performed. The device data is then interfaced with cloud platforms or upper computers, enabling functions such as equipment monitoring, abnormal alarming, operation and maintenance management, remote maintenance, and data analysis. This provides reliable assistance for improving production plans and enhancing production processes.

1. Real-time Monitoring, Preventing Problems Before They Occur
   Through the data collection function, the system achieves comprehensive and real-time monitoring without blind spots.

    All key parameters, including temperature, humidity, and mechanical wear, are accurately recorded and analyzed. When certain indicators exceed preset safety ranges, the system immediately triggers an alarm mechanism, notifying relevant personnel to take action via notification methods such as WeChat, SMS, and email.

2. Remote Operation and Maintenance, Flexible Response
   Leveraging wireless communication technology, operation and maintenance personnel can complete most tasks without being physically present on-site.

    Regardless of their location, they can simply open an application on their mobile phone or computer to view the current status, receive alarm information, and remotely control equipment. This saves human resources while ensuring rapid response capabilities.

3. Data Analysis, Efficient Optimization
   By employing data analysis techniques, various device data, time periods, and data reports or curve graphs are uated and summarized. This forms systematic and scientific work experiences that are saved and used to optimize unnecessary accidental losses and reduce risks. It contributes to the smooth delivery of product safety and achieves the goal of improving quality and efficiency, promoting digital transformation.