Solution for Remote Monitoring System of PLC Data Acquisition for Pre-shrinking and Setting Machines

Industry Background
As the wave of technology sweeps across various industries, the traditional textile industry is undergoing profound transformations led by intelligent technologies.

 In this labor-intensive traditional sector, efficiency and quality have become the core values pursued by manufacturers, with automated equipment increasingly replacing manual labor.

Pre-shrinking and setting, as crucial processes in textile production, have a decisive impact on the quality of finished products.

 However, this process often relies on experienced operators, and due to the lack of real-time monitoring, it frequently leads to issues such as low production efficiency and unstable product quality.

Industry Pain Points

1. Human Error: Manual operations are prone to mistakes and lack timeliness.
2. Insufficient Monitoring: There is a lack of effective online inspection methods to ensure product pass rates.
3. Delayed Response: When equipment fails, it cannot be promptly detected and addressed.
4. Resource Wastage: Equipment manufacturers are unable to provide efficient and reliable operational resources, leading to waste.

Solution
In response, WideIOT (formerly known as Wutong Bolian) offers a remote monitoring system for pre-shrinking and setting machines based on PLC data acquisition.

 Through industrial intelligent gateways, it enables data collection, analysis, and feedback control throughout the entire process from raw material input to finished product output. This provides a unified information-sharing platform for textile enterprises and equipment manufacturers, offering intelligent applications such as remote monitoring, remote control, fault alerts, operation and maintenance management, and remote maintenance. It enhances production management levels and efficiency while reducing the rate of defective products.

System Functions

1. Real-time Data Acquisition: Enables monitoring of equipment operating status and process parameters, such as temperature, humidity, and pressure.
2. Abnormality Warning Mechanism: Utilizes algorithms to detect abnormal data and issue alerts via WeChat, SMS, email, etc.
3. Energy Efficiency Management System: Expands access to electricity meters to monitor energy consumption data, optimizing scheduling to reduce energy consumption and lower operational costs.
4. Remote Maintenance Support: Allows manufacturers to remotely program, debug, and upload/download PLC programs via device express lines.
5. Decision Support Tool: Provides visual data analysis to drive production transformation and assist management in making wiser strategic decisions.
6. Operation and Maintenance Management Scheduling: Establishes a visual, online, and traceable standardized operation and maintenance process, allowing for timely intervention and control.