How to transform and upgrade the glass industry from "digital" to "intelligent"? Driven by the pain points of "high, difficult and many", the glass industry is difficult to transform and change.
The glass industry is facing three major pain points. First, glass enterprises are typical "high" energy-consuming production enterprises, kilns, annealing furnaces, tempering furnaces and a series of high-energy-consuming equipment is the bulk of energy consumption, on the one hand, enterprises are facing severe pressure on the government's energy index monitoring, on the other hand, energy saving and cost reduction are also the core considerations of enterprises. At present, the production and operation data of most factories rely on manual collection and analysis, which makes the feedback of process parameters lag behind, and the parameter analysis between equipment is not related. In addition, it is difficult to pass on the experience of masters, and the risk of production uncertainty increases. Experienced teachers retire from their posts, and a large amount of experience that has not been digitally precipitated is difficult to inherit, all of which make the process of production management more "difficult" to control. Third, there are "many" major sources of danger, the factory has nitrogen stations, hydrogen stations, liquefied gas and pipeline natural gas and other major sources of danger, once there is a risk such as untimely monitoring, personnel safety accidents will occur, resulting in losses to the enterprise.
The way to break the transformation of the glass industry, we believe that from [digital] to [intelligent] is an efficient password to solve the dilemma. In the digital era, how to discover, mine, and operate data to maximize the value of data is the primary issue faced by industrial enterprises. In the digital era, equipment is the core user and the industrial Internet is the core system, so as to build a new type of enterprise management.
If the glass industry wants to continue to make efforts in the era of Industry 4.0 and take the road of intelligent factories, it is the only way to go from digitalization to intelligence.
