1. Achieving Real-Time Energy Data Collection and Control

• The energy management subsystem can achieve the following functions:
  • Real-time energy monitoring for the entire plant and each workshop
  • Remote meter reading management
  • Daily, monthly, and yearly energy consumption statistics by machine, workshop, and entire plant
  • Comparative analysis of energy consumption by machine and workgroup
  • Year-on-year analysis of energy consumption by day, month, and year
  • Energy cost statistics by order
  • Control of water and steam usage for various machine models.

2. Achieving Equipment Operating Efficiency Monitoring

Improving the utilization rate of production equipment in the workshop is a constant goal for enterprises. By monitoring the machines during the production process and collecting key equipment data, the system can:

• Real-Time Analysis: Analyze the effective working time of each machine in the workshop.
• Detailed Downtime Classification: Break down downtime into categories such as cleaning, sampling, material change, product change, equipment failure, and fabric shortage.
• Data Support for Optimization: Provide data support to help enterprises optimize planning and processes.
• Increased Utilization Rate: Effectively improve the utilization rate of equipment.

3. Achieving Online Monitoring and Control of Workshop Equipment Parameters
The system establishes an online monitoring platform through network informatization, digitization, and intelligence. This includes:
Integration of Various Processes: Incorporating customer samples, computer color matching, sample prescriptions, customer-approved samples, dye formulations, large-scale production processes, and dye addition systems into the platform.
Standard Process Archives: Technical departments compile standard process archives for regular products.
Reduction of Errors and Redundancy: Minimizes human repetitive labor, wrong formulations, incorrect dye weighing, incorrect tank loading, disorderly process changes, and variations due to different employee responsibility levels.

4. Achieving Real-Time Logistics Tracking and Machine Production Reporting
Unique Identification: Use barcodes (1D, 2D) and RFID cards (radio frequency) to uniquely identify batches of fabrics (including raw materials, semi-finished, and finished products).
Real-Time Data Collection: Collect real-time transfer information for each production segment through various on-site collection devices.
ERP System Integration: Interact with the ERP system to monitor the location of any batch of fabric in real-time.

5. Achieving Timely Equipment Maintenance Management
Real-Time Monitoring: Real-time monitoring of machine operation status by interfacing with equipment manufacturers' communication ports.
Dynamic Display: Display dynamic data such as machine speed, temperature, current value, and tension parameters.
Preemptive Fault Detection: Helps equipment managers predict machine anomalies, reducing sudden stoppages due to equipment failures.

6. Achieving Real-Time Production Dashboard Management
Real-Time Information Transmission: Use the real-time dashboard management subsystem to convey and feedback workshop information.
Immediate Alerts: Provide real-time alerts, allowing managers to intervene and adjust promptly.
Proactive Control: Transform post-event control into preemptive control, addressing issues at their inception.

【Typical Customer Cases】