5G+ Smart Textile Factory Solution

Textile factories consume energy in various aspects, including heating, air conditioning, steam, and power, with electricity being the primary type of energy consumption, imposing significant energy costs on enterprises.

 However, traditional textile enterprises generally face issues such as suboptimal power supply methods and electrical equipment, outdated textile processes, and a lack of energy-saving technologies, resulting in high energy consumption costs per unit of output and energy waste.

Facing the new wave of intelligent manufacturing, WideIOT (formerly Wutongbolian) provides a 5G+ smart textile factory solution based on industrial IoT.

 By connecting textile equipment and electricity meters in various workshops of the factory through industrial smart gateways, energy consumption data is collected in real time and uploaded to the cloud platform via 5G networks. This enables visual monitoring, management, and analysis of energy consumption data, better supporting energy-saving optimization efforts and helping enterprises reduce energy consumption costs and resource waste.

Additionally, industrial smart gateways can also collect equipment and production data and integrate them into the MES system to achieve efficient production management.

 Enterprises can obtain real-time information on the operational status and capacity of various equipment, manage and control fault alarms promptly, and identify abnormal capacity for improvement and optimization, forming information sharing and optimal allocation among production, equipment, and personnel systems.

:

Application Characteristics

1. Equipment Interconnection: Through 5G networks, wireless interconnection of textile equipment is achieved, enabling collaborative operations among devices and improving production efficiency.

2. Data Intercommunication: Through 5G networks, real-time transmission and analysis of production data are realized, providing data support for production decision-making.

3. Intelligent Analysis: Through data visualization technology, in-depth analysis of production data is conducted to achieve intelligent optimization of the production process.

4. Precise Decision-Making: Through big data analysis technology, real-time processing and analysis of production data are performed, providing precise decision-making bases for production scheduling.