The energy consumed by textile factories mainly includes heating, air conditioning, steam, power and other aspects, and electricity is the main type of energy consumption, which brings large energy consumption costs to enterprises. However, traditional textile enterprises generally have problems such as insufficient optimization of power supply methods and electrical equipment, insufficient advanced textile technology, and lack of energy-saving technology, resulting in high energy consumption costs and energy waste in enterprise output value.
Facing the new wave of intelligent manufacturing, Wutong Bolian provides 5G+ smart textile factory solutions based on the industrial Internet of Things. The industrial intelligent gateway is connected to the textile equipment and electricity meters in each workshop in the factory, and the energy consumption data is collected in real time and uploaded to the cloud platform through the 5G network, so as to realize the visual monitoring, management and analysis of energy consumption data, better support energy conservation and optimization, and help enterprises reduce energy consumption costs and resource waste.
In addition, the industrial intelligent gateway can also collect equipment data and production data and connect them to the MES system to achieve efficient production management. Enterprises can obtain the operation status and capacity information of each equipment at any time, understand the fault alarm information and manage and control it in time, and can also understand the abnormal production capacity to improve and optimize, and form information sharing and optimal configuration of production, equipment, employees and other systems.
Application features: 1.Equipment interconnection: Through the 5G network, the wireless interconnection of textile equipment is realized, and the collaborative operation between equipment is realized to improve production efficiency.
2.Data interoperability: Through the 5G network, real-time transmission and analysis of production data can be realized, providing data support for production decision-making.
3.Intelligent analysis: Through data visualization technology, in-depth analysis of production data is carried out to realize intelligent optimization of the production process.
4.Accurate decision-making: Through big data analysis technology, real-time processing and analysis of production data is carried out to provide accurate decision-making basis for production scheduling.