Solution for Wireless Communication in PLC Data Acquisition for Winding Machines

A rewinder is a specialized device used for paper, film, and other materials, with the purpose of sequentially rewinding paper rolls (referred to as raw paper rolls) produced by papermaking machines.

 After rewinding, the paper is made into finished products for shipment. Due to the low profit margins of the products and the high demand for continuous production, customers have increasingly high expectations for equipment manufacturers to minimize downtime and interruptions when using winding machines.

During the after-sales operation and maintenance process of winding machines, enterprises often face the following challenges:

1. Widely Distributed Equipment: Winding machines are typically distributed across the country, making traditional manual inspection methods inefficient and often unable to promptly detect and address faults.

2. Data Silos: Data generated by individual winding machines are isolated from each other, lacking a unified management and analysis platform, resulting in underutilization of the data.

3. High Maintenance Costs: Traditional maintenance methods require frequent on-site visits by maintenance personnel, increasing labor costs and affecting production efficiency.

4. Insufficient Predictive Capabilities: The lack of effective early warning mechanisms often leads to reactive maintenance only after a fault has occurred, impacting production continuity and stability.

To address these issues, WideIoT offers a solution that enables remote real-time monitoring of winding machines nationwide through PLC data acquisition and wireless communication.

 This solution allows enterprises to understand the operational status and process parameters of the equipment, thereby implementing precise and efficient maintenance services. It ensures timely after-sales maintenance services, safeguards production safety, and plays a crucial role in building the enterprise's brand image.

Implemented Functions

1. Real-time Monitoring and Early Warning: Continuously monitor the operational status and key parameters of winding machines.

    Upon detecting anomalies or faults, immediately issue early warning signals through various notification methods such as WeChat, SMS, and email.

2. Remote Fault Diagnosis: Maintenance personnel can diagnose faults on winding machines through the system platform, view alert reasons and timestamps, and take appropriate actions.

3. Data Reporting and Analysis: Generate various data reports and analysis reports, such as equipment operation status reports and fault analysis reports.

    These reports help enterprises better understand the operational status of winding machines and optimize production strategies and equipment configurations.

4. Maintenance Information Management: Implement online, information-based, and intelligent management of maintenance work orders.

    View equipment alert frequencies, maintenance records, operation logs, and other information online, and adjust maintenance work reasonably to achieve optimal resource allocation.

5. Predictive Maintenance Recommendations: The accumulation of large amounts of data facilitates the establishment of fault prediction models, providing predictive maintenance recommendations. This helps enterprises proactively identify potential fault hazards and take preventive measures to ensure production continuity and stability.