With the rapid development of China's automobile industry, the prospect of automobile plate market is very broad. Continuous annealing furnace is the main core equipment of automobile plate production line, and the process parameters and equipment status related to annealing furnace directly affect the product quality. This paper introduces the establishment of industrial furnace big data platform by using big data analysis method, and introduces the main process of annealing furnace process, operation, equipment and so on Parameters and various manufacturing resources should be connected together to form a unified resource pool, and intelligent response should be made under the joint decision of human, machine and material, so as to realize remote diagnosis and intelligent early warning for abnormal trend data. Prevent the occurrence of major quality accidents or equipment failures.
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