IOT News

The rewinder is a specialized device used for paper, film, and similar materials. Its purpose is to sequentially rewind the paper rolls produced by the paper machine (called original paper rolls), and after rewinding, the paper is made into finished paper for shipment. Due to low product profit margins and high requirements for continuous production, customers hope to avoid downtime and stoppages as much as possible when using rewinding machines, which places increasingly higher demands on equipment manufacturers.

In the after-sales operation and maintenance process of rewinding machines, enterprises often face the following pain points:
Widely distributed equipment: Rewinding machines are usually distributed across the country, and traditional manual inspection methods are inefficient, making it difficult to discover and handle faults in a timely manner.
Data silos: The data generated by each rewinding machine is independent of one another, lacking a unified management and analysis platform, resulting in data that cannot be fully utilized.
High operation and maintenance costs: Traditional operation and maintenance methods require personnel to frequently travel to the site, which not only increases labor costs but also affects production efficiency.
Insufficient predictive capability: The lack of an effective early warning mechanism often means that repairs can only be performed passively after faults occur, affecting the continuity and stability of production.

In response, through IoT gateways, enterprises can achieve PLC data acquisition and wireless communication for rewinding machines, enabling remote real-time monitoring of equipment across the country and providing insight into equipment operating status and process parameters, thereby delivering precise and efficient operation and maintenance services. This ensures timely after-sales operation and maintenance services, safeguards production safety, and plays an important role in building the enterprise's brand image.

Implemented Functions

Real-time monitoring and early warning: Real-time monitoring of the operating status and key parameters of rewinding machines. Once abnormalities or faults are detected, early warning signals are issued immediately, with support for notification methods such as WeChat, SMS, and email.

Remote fault diagnosis: Operation and maintenance personnel can perform fault diagnosis on rewinding machines through the system platform, view information such as alarm causes and alarm times, and take reasonable measures.

Data reports and analysis: Generate various data reports and analysis reports, such as equipment operating status reports and fault analysis reports. These reports can help enterprises better understand the operating status of rewinding machines and optimize production strategies and equipment configuration.

Informatized operation and maintenance management: Enable online, informatized, and intelligent management of operation and maintenance work orders, with online access to information such as equipment alarm frequency, maintenance records, and operation logs, and rational adjustment of operation and maintenance work to achieve optimal resource allocation.

Predictive maintenance recommendations: The accumulation of large amounts of data helps establish fault prediction models and provide predictive maintenance recommendations. This helps enterprises discover potential fault hazards in advance and take corresponding preventive measures to ensure the continuity and stability of production.