The construction of a smart factory involves numerous systems, among which the data acquisition system is a crucial component. For the manufacturing industry, there is no single approach to data collection. In a smart factory, various data collection methods are employed depending on factors such as production scenarios, raw material types, equipment categories, personnel allocation, and process types. The smart factory system developed by Alsi System Integration (Dalian) Co., Ltd. is adaptable to factories producing diverse product categories.

First, essential data must be recorded. For a smart factory, certain fundamental data needs to be entered, including product flows, process names, process condition targets, and so on. This data helps the smart factory establish its own enterprise-specific data collection project repository. Subsequently, the smart factory can continuously obtain a large volume of automatically generated system data.

The data acquisition system can collect data through barcodes, which is currently a common type of data acquisition system. Additionally, there are data acquisition systems that collect data via sensors, and these systems are also frequently used in smart factory construction. Systems utilizing RFID for data collection are implemented as well, allowing for a comprehensive consideration of the advantages and disadvantages of various data acquisition methods to build an optimized smart factory.

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