PLC Data Acquisition for Pre-Shrinking and Shaping Machines

Industry Background

With the wave of technology sweeping all walks of life, the traditional textile industry is experiencing a profound change led by intelligent technology. In this labour-intensive traditional industry, efficiency and quality have become the core values pursued by manufacturers, and automated equipment is gradually replacing manpower in a wide range of applications.PLC Data Acquisition for Pre-Shrinking and Shaping Machines

Pre-shrinking and sizing, as an important part of the textile production process, has a decisive impact on the quality of the finished product. However, this process often relies on experienced operators, and the lack of real-time monitoring often leads to low productivity and inconsistent product quality.

Industry Pain Points

1. Human Error: Relying on manual operation is prone to errors and poor timeliness.

2. Inadequate Monitoring: Lack of effective online inspection means to ensure product qualification rate.

3. Lagging Response: When equipment malfunctions, they cannot be detected and dealt with in a timely manner.

4. Waste Of Resources: Equipment manufacturers are unable to provide efficient and reliable operation and maintenance resources, which results in waste.

The Solution

IOTROUTER provides a PLC-based remote monitoring system for pre-shrink sizing machines. Through the gateway edge to achieve the whole process of data collection, analysis and feedback control from raw material input to production, it provides an integrated information sharing platform for textile enterprises and equipment manufacturers, so as to provide intelligent applications such as remote monitoring, remote control, fault alarms, operation and maintenance management and remote maintenance for all parties, to strengthen the production management level and production efficiency, and to reduce the rate of defective products.

System Functions

1. Real-time Data Collection: Realise the monitoring of equipment operation status and process parameters, such as temperature and humidity, pressure, etc. 2. abnormal early warning mechanism: use the system to monitor and control the production process.

2. Abnormal Early Warning Mechanism: Use algorithms to monitor abnormal data and issue alerts, such as microblogging, SMS, email, etc.

3. Energy Efficiency Management System: Expand access to meters to monitor energy consumption data, scheduling optimisation to reduce energy consumption and operating costs.

4. Remote Maintenance Support: Manufacturers can achieve remote programming and debugging of off-site PLCs and remote uploading and downloading of programmes through Device Express.

5. Decision-making Aids: Visual data analysis to drive production change and help management make smarter strategic decisions.

6. Operation And Maintenance Management Scheduling: Establish a visual, online, traceable and standardised operation and maintenance process, intervention and control at any time.

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