Industrial Internet of Things
Printing and Dyeing Machine Networking MES System
The energy management subsystem can achieve 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, and control of water and steam usage for various machine models.
Product overview
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 analyze the effective working time of each machine in the workshop, break down downtime into categories such as cleaning, sampling, material change, product change, equipment failure, and fabric shortage, provide data support to help enterprises optimize planning and processes, and effectively improve the utilization rate of equipment.
The system establishes an online monitoring platform through network informatization, digitization, and intelligence. This includes incorporating customer samples, computer color matching, sample prescriptions, customer-approved samples, dye formulations, large-scale production processes, and dye addition systems into the platform.
Technical departments compile standard process archives for regular products. The platform minimizes human repetitive labor, wrong formulations, incorrect dye weighing, incorrect tank loading, disorderly process changes, and variations due to different employee responsibility levels.
Use barcodes (1D, 2D) and RFID cards (radio frequency) to uniquely identify batches of fabrics, including raw materials, semi-finished, and finished products. Collect real-time transfer information for each production segment through various on-site collection devices and interact with the ERP system to monitor the location of any batch of fabric in real-time.
Real-time monitoring of machine operation status by interfacing with equipment manufacturers' communication ports. Display dynamic data such as machine speed, temperature, current value, and tension parameters. This helps equipment managers predict machine anomalies, reducing sudden stoppages due to equipment failures.
Use the real-time dashboard management subsystem to convey and feedback workshop information. It provides real-time alerts, allowing managers to intervene and adjust promptly, and transforms post-event control into preemptive control, addressing issues at their inception.
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