The orders, equipment, production process, materials, pollution discharge, water quality and other data of the entire factory are now interconnected. The core business data I am concerned about, such as equipment utilization rate, one-time dyeing success rate, and daily energy and material consumption costs, are clear at a glance. In addition, environmental protection and safety are particularly important for our printing and dyeing enterprises. This platform associates VOC, industrial water quality, discharged COD and other data with process and quality for analysis and early warning, which can include Effectively reducing environmental costs and pressure, "said Wang Wenjun, the general manager of English Printing and Dyeing, pointing to the screen
We use our self-developed data center to comprehensively collect and connect human, machine, material, legal, and environmental data within the enterprise, and then model based on the core indicators and business logic of textile printing and dyeing enterprises to achieve 7 * 24 hour analysis, statistics, and monitoring and warning. We refer to this as Industrial Intelligence (MI), which is compared to Business Intelligence (BI) Industry requires more real-time and accurate process collaboration and management, with greater necessity and value generated, such as early warning of equipment failures, personnel safety hazards, and fires, which can significantly reduce costs and losses for enterprises, "said Huang Fuxin, Vice President of Beijing Digital Technology Co., Ltd., the provider of the project, Enterprises like English Printing and Dyeing, with an annual output value of 200 to 500 million yuan, can generate direct benefits of approximately 5 to 8 million yuan per year through our technology and products
Data thinking leads textile industry from digitization to digital industrialization
On the basis of Industrial Intelligence (MI), BinMade's textile industry internet platform has also launched intelligent optimization and decision-making apps formed through data precipitation and learning, such as intelligent production scheduling, intelligent color matching, and supply chain collaboration, forming a closed loop of collection, analysis, mining, learning, and optimization. Data will become the most important means of production and core asset for enterprises and industries in the future, "Huang Fuxin said." We not only use technology and products to help enterprises turn data into assets and maximize the value of data, but more importantly, we help enterprises and this industry form data-driven thinking
In the process of integrating the textile industry with the industrial internet, there is first digitization of the industry, followed by digital industrialization. We need to continuously promote the digitization of the industry to digital industrialization. "Xia Lingmin, Vice President of the China Textile Industry Federation, pointed out, The first industrial revolution originated from textiles, and now it is the rise of a new round of industrial revolution. The textile industry, driven by technology and the market, will still be at the forefront of change. Compared to other manufacturing industries, textiles have their own unique and complex business processes and logic, with significant differences in different fields. Therefore, it is particularly necessary to have technology consultants and service providers who understand textiles, focus on textiles, and have technical strength. At the same time, it is necessary to add Guided by major policies, we will introduce various forces including technology and capital to accelerate the transition from industrial digitization to digital industrialization