IOT News

As enterprises expand their business scale and scope, the number of equipment requiring after-sales operation and maintenance keeps growing. Meanwhile, data from different project sites remain isolated. The manual recording and sorting of equipment fault information and maintenance status is no longer sustainable. In the long run, enterprises will have to invest increasing manpower and material resources, resulting in bloated management structures. Business strategies cannot be implemented accurately, which slows down corporate development imperceptibly.

WideIOT provides an IoT solution based on PLC data acquisition gateways to collect data from steel plate forming machines and upload data to the remote operation and maintenance management platform. It enables remote equipment monitoring, fault alarming, remote control, remote maintenance and other functions. Continuous optimization can be achieved through data analysis, effectively improving the standard and quality of after-sales service and building a sound corporate image.

Implemented Functions

1.The gateway connects to the controller PLC and is deployed on customer sites, forming a nationwide remote monitoring system. It clearly displays the geographical distribution, quantity by equipment type, customer affiliation and project details of all devices. Functions including adding, deleting and editing entries are available to meet flexible equipment management requirements.

2.Users can access the system seamlessly via mobile phones or computers to view real-time equipment status, alarm messages and maintenance tasks. With the integrated large data screen, key data are visualized in diverse forms such as reports, charts and maps to enhance monitoring experience and decision-making efficiency.

3.Users can configure preset intelligent alarm rules. When abnormal data is detected, alarm notifications will be automatically sent through multiple channels including WeChat, SMS and emails. Relevant personnel can receive alerts instantly and respond quickly to prevent problems from escalating.

4.A comprehensive maintenance work order management module is adopted, supporting full-process management from work order creation to service uation. Optimized resource allocation and task assignment improve fault handling efficiency. Feedback is collected to continuously refine maintenance workflows and lift service quality.

5.Data analysis is applied to conduct in-depth study on equipment operating conditions, fault trends and maintenance quality, providing solid support for decision-making. Continuous optimization of maintenance strategies facilitates product iteration and upgrading, improves after-sales service quality, and guarantees long-term, stable and efficient operation of equipment.